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Latest publications

  • Niklas W. A. Gebauer, Michael Gastegger, Stefaan S. P. Hessmann, Klaus-Robert Müller, Kristof T. Schütt: Inverse design of 3d molecular structures with conditional generative neural networks. CoRR abs/2109.04824 (2021)

  • Thomas Koch, Weifan Jiang, Tao Luo, Petros Gigis, Kevin Vermeulen, Emile Aben, Matt Calder, Ethan Katz-Bassett, Lefteris Manassakis, Georgios Smaragdakis, Narseo Vallina-Rodriguez: Towards an Internet Traffic Map. HotNets 2021, to appear

  • Thomas Krenc, Robert Beverly, Georgios Smaragdakis: AS-level BGP Community Usage Classification. Internet Measurement Conference 2021, to appear

  • Taha Albakour, Oliver Gasser, Robert Beverly, Georgios Smaragdakis: Third Time’s Not a Charm: Exploiting SNMPv3 for Router Fingerprinting. Internet Measurement Conference 2021, to appear

  • Jiamei Suna, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder: Explain and improve: LRP-inference fine-tuning for image captioning models. Inf. Fusion 77: 233-246 (2022)

  • Christopher J. Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin: Finding and removing Clever Hans: Using explanation methods to debug and improve deep models. Inf. Fusion 77: 261 – 295 (2022)

  • Daniel Wagner, Daniel Kopp, Matthias Wichtlhuber, Christoph Dietzel, Oliver Hohlfeld, Georgios Smaragdakis, Anja Feldmann. United We Stand: Collaborative Detection and Mitigation of Amplification DDoS Attacks at Scale. CCS 2021, to appear

  • Paolo Andrea Erdman, Frank Noé: Identifying optimal cycles in quantum thermal machines with reinforcement-learning. CoRR abs/2108.13525 (2021)

  • Luis Oala, Cosmas Heiß, Jan Macdonald, Maximilian März, Gitta Kutyniok, Wojciech Samek: Detecting failure modes in image reconstructions with interval neural network uncertainty. Int. J. CARS (2021)

  • Habib Mostafaei, Shafi Afridi: P4Flow: Monitoring Traffic Flows with Programmable Networks. IEEE Commun. Lett. (Early Access) (2021)

  • Stefan Klus, Patrick Gelß, Feliks Nüske, Frank Noé: Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry. Mach. Learn.: Sci. Technol. 2(4): 045016 (2021)

  • Tim Hempel, Katarina Elez, Nadine Krüger, Lluís Raich, Jonathan H. Shrimp, Olga Danov, Danny Jonigk, Armin Braun, Min Shen, Matthew D. Hall, Stefan Pöhlmann, Markus Hoffmann, Frank Noé: Synergistic inhibition of SARS-CoV-2 cell entry by otamixaban and covalent protease inhibitors: pre-clinical assessment of pharmacological and molecular properties. Chem. Sci. 2021

  • Petros Gigis, Matt Calder, Lefteris Manassakis, George Nomikos, Vasileios Kotronis, Xenofontas A. Dimitropoulos, Ethan Katz-Bassett, Georgios Smaragdakis: Seven years in the life of Hypergiants’ off-nets. SIGCOMM 2021: 516-533

  • N. Alexia Raharinirina, Felix Peppert, Max von Kleist, Christof Schütte, Vikram Sunkara: Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments. Patterns 2:  100332 (2021)

  • Binger Chen, Ziawasch Abedjan: Interactive Cross-language Code Retrieval with Auto-Encoders. ASE 2021, to appear

  • Gábor E. Gévay, Juan Soto, Volker Markl: Handling Iterations in Distributed Dataflow Systems. ACM Comput. Surv. (2021), to appear

  • Habib Mostafaei, Mohammad Shojafar, Mauro Conti: TEL: Low-Latency Failover Traffic Engineering in Data Plane. IEEE Trans. Netw. Serv. Manag. (Early Access) (2021)

  • Danh Le Phuoc, Thomas Eiter, Anh Le Tuan: A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion.  AAAI 2021: 4996-5005

  • Hannah Marienwald, Jean-Baptiste Fermanian, Gilles Blanchard: High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding. AISTATS 2021: 1963-1971

  • Arne de Wall, Björn Deiseroth, Eleni Tzirita Zacharatou, Jorge-Arnulfo Quiané-Ruiz, Begüm Demir, Volker Markl: Agora-EO: A Unified Ecosystem for Earth Observation – A Vision for Boosting EO Data Literacy –. BiDS 2021

  • Julia Markowski, Rieke Kempfer, Alexander Kukalev, Ibai Irastorza-Azcarate, Gesa Loof, Ana Pombo, Roland F. Schwarz: GAMIBHEAR: whole-genome haplotype reconstruction from Genome Architecture Mapping data. Bioinform. 2021

  • Tim Hempel, Mauricio J. del Razo, Christopher T. Lee, Brynn C. Taylor, Rommie E. Amaro, Frank Noé: Independent Markov Decomposition: Towards modeling kinetics of biomolecular complexes. bioRxiv 2021

  • Alexander Kumaigorodski, Clemens Lutz, Volker Markl: Fast CSV Loading Using GPUs and RDMA for In-Memory Data Processing. BTW 2021: 19-38

  • Elena Beatriz Ouro Paz, Eleni Tzirita Zacharatou, Volker Markl: Towards Resilient Data Management for the Internet of Moving Things. BTW 2021: 279-301

  • Aldo Glielmo, Brooke E. Husic, Alex Rodriguez, Cecilia Clementi, Frank Noé, Allesandro Laio: Unsupervised Learning Methods for Molecular Simulation Data. Chem. Rev. 2021

  • Tim Hempel, Lluís Raich, Simon Olsson, Nurit P. Azouz, Andrea M. Klingler, Markus Hoffmann, Stefan Pöhlmann, Marc E. Rothenberg, Frank Noé: Molecular mechanism of inhibiting the SARS-CoV-2 cell entry facilitator TMPRSS2 with camostat and nafamostat. Chem. Sci. 12(3): 983-992 (2020)

  • Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl: The Case for Distance-Bounded Spatial Approximations. CIDR 2021

  • Kilian Runte, Kay Brosien, Charlotte Schubert, Johannes Nordmeyer, Peter Kramer, Stephan Schubert, Felix Berger, Anja Hennemuth, Titus Kuehne, Marcus Kelm, Leonid Goubergrits:  Image-Based Computational Model Predicts Dobutamine-Induced Hemodynamic Changes in Patients With Aortic Coarctation. Circ. Cardiovasc. Imaging. 14(2): e011523 (2021)

  • Anja Feldmann, Oliver Gasser, Franziska Lichtblau, Enric Pujol, Ingmar Poese, Christoph Dietzel, Daniel Wagner, Matthias Wichtlhuber, Juan Tapiador, Narseo Vallina-Rodriguez, Oliver Hohlfeld, Georgios Smaragdakis: A Year in Lockdown: How the Waves of COVID-19 Impact Internet Traffic. Commun. ACM 64(7): 101-108 (2021)

  • Tabea Kossen, Pooja Subramaniam, Vince I. Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey: Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks. Comput. Biol. Medicine 131: 104254 (2021)

  • Mauricio J. del Razo, Manuel Dibak, Christoph Schütte, Frank Noé: Multiscale molecular kinetics by coupling Markov state models and reaction-diffusion dynamics. CoRR abs/2103.06889 (2021)

  • Robin Winter, Frank Noé, Djork-Arné Clevert: Auto-Encoding Molecular Conformations. CoRR abs/2101.01618 (2021)

  • Robin Winter, Frank Noé, Djork-Arné Clevert: Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning. CoRR abs/2104.09856 (2021)

  • Stefan Klus, Patrick Gelß, Feliks Nüske, Frank Noé: Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry. CoRR abs/2103.17233 (2021)

  • Tuan Le, Marco Bertolini, Frank Noé, Djork-Arné Clevert: Parameterized Hypercomplex Graph Neural Networks for Graph Classification. CoRR abs/2103.16584 (2021)

  • Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl: Replicate or Relocate? Non-Uniform Access in Parameter Servers. CoRR abs/2104.00501 (2021)

  • Gencer Sumbul, Arne de Wall, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir, Volker Markl: BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval. CoRR abs/2105.07921 (2021)

  • Adrian Michalke, Philipp Marian Grulich, Clemens Lutz, Steffen Zeuch, Volker Markl: An Energy-Efficient Stream Join for the Internet of Things. DaMoN 2021: 8:1-8:6

  • Manh Nguyen Duc, Anh Le Tuan, Manfred Hauswirth, Danh Le Phuoc: Towards autonomous semantic stream fusion for distributed video streams.  DEBS 2021: 172-175.

  • Siddhant Agarwal, Nicola Tosi, Pan Kessel, Sebastiano Padovan, Doris Breuer, Grégoire Montavon: Towards constraining Mars’ thermal evolution using machine learning. Earth and Space Science 8 (2021)

  • Felipe Gutierrez, Kaustubh Beedkar, Abel Souza, Volker Markl: AdCom: Adaptive Combiner for Streaming Aggregations. EDBT 2021: 409 – 414

  • Julius Hülsmann, Chiao-Yun Li, Jonas Traub, Volker Markl: Automatic Tuning of Read-Time Tolerances for Optimized On-Demand Data-Streaming from Sensor Nodes. EDBT 2021: 517-522

  • Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan: COCOA: COrrelation COefficient-Aware Data Augmentation. EDBT 2021: 331-336

  • Sergey Redyuk, Zoi Kaoudi, Volker Markl, Sebastian Schelter: Automating Data Quality Validation for Dynamic Data Ingestion. EDBT 2021: 61-72

  • Osman Musa, Peter Jung, Giuseppe Caire: Plug-And-Play Learned Gaussian-mixture Approximate Message Passing. ICASSP 2021: 4855-4859

  • Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Loránd Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl: Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance. ICDE 2021: 1428-1439

  • Philipp Wiesner, Lauritz Thamsen: LEAF: Simulating Large Energy-AwareFog Computing Environments. ICFEC 2021: 29-36

  • Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller: Explainable Deep One-Class Classification. ICLR 2021

  • Michele Scalas, Konrad Rieck, Giorgio Giacinto: Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking. ICPR Workshops 2021

  • Binger Chen, Ziawasch Abedjan: RPT: Effective and Efficient Retrieval of Program Translations from Big Code. ICSE (Companion Volume) 2021: 252-253

  • Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu: From Cleaning before ML to Cleaning for ML. IEEE Data Eng. Bull. 44(1): 24-33 (2021)

  • Apoorv Shukla, Kevin Hudemann, Zsolt Vági, Lily Hügerich, Georgios Smaragdakis, Artur Hecker, Stefan Schmid, Anja Feldmann: Fix with P6: Verifying Programmable Switches at Runtime. IEEE INFOCOM 2021

  • Matthias Frey, Igor Bjelaković, Sławomir Stańczak: Towards Secure Over-The-Air Computation. IEEE ISIT 2021, to appear

  • Habib Mostafaei, Davinder Kumar, Gabriele Lospoto, Marco Chiesa, Giueseppe Di Battista: DeSI: A Decentralized Software-Defined Network Architecture for Internet eXchange Points. IEEE Trans. Netw. Sci. Eng. (2021)

  • Masoud Gholami, Florian Schintke: Combining XOR and Partner Checkpointing for Resilient Multilevel Checkpoint/Restart. IPDPS 2021: 277-288

  • Anja Feldmann, Oliver Gasser, Franziska Lichtblau, Enric Pujol, Ingmar Poese, Christoph Dietzel, Daniel Wagner, Matthias Wichtlhuber, Juan Tapiador, Narseo Vallina-Rodriguez, Oliver Hohlfeld, Georgios Smaragdakis: Implications of the COVID-19 Pandemic on the Internet Traffic. ITG-Fachkonferenz “Breitbandversorgung in Deutschland” (2021)

  • Brooke E. Husic, Nicholas E. Charron, Dominik Lemm, Jiang Wang, Adrià Pérez, Maciej Majewski, Andreas Krämer, Yaoyi Chen, Simon Olsson, Gianni de Fabritiis, Frank Noé, Cecilia Clementi: Coarse graining molecular dynamics with graph neural networks. J. Chem. Phys. 153(19): 194101 (2020)

  • Jiang Wang, Nicholas Charron, Brooke Husic, Simon Olsson, Frank Noé, Cecilia Clementi: Multi-body effects in a coarse-grained protein force field. J. Chem. Phys. 154(16): 164113 (2021)

  • Luigi Sbailò, Manuel Dibak, Frank Noé: Neural mode jump Monte Carlo. J. Chem. Phys. 154(7): 074101 (2021)

  • Zeno Schätzle, Jan Hermann, Frank Noé: Convergence to the fixed-node limit in deep variational Monte Carlo. J. Chem. Phys. 154(12): 124108 (2021)

  • Stefan Doerr, Maciej Majewski, Adrià Pérez, Andreas Krämer, Cecilia Clementi, Frank Noé, Toni Giorgino, Gianni De Fabritiis: TorchMD: A deep learning framework for molecular simulations. J. Chem. Theory Comp. 17(4): 2355-2363 (2021)

  • Huziel E. Sauceda, Valentin Vassilev-Galindo, Stefan Chmiela, Klaus-Robert Müller, Alexandre Tkatchenko: Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperature. Nat. Commun. 12(442) (2021)

  • Habib Mostafaei, Shafi Afridi, Jemal H. Abawajy: SNR: Network-aware Geo-Distributed Stream Analytics. NEAC@CCGriD 2021: 820-827

  • Vignesh Srinivasan, Arturo Marban, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima: Robustifying Models Against Adversarial Attacks by Langevin Dynamics. Neural Networks 137: 1-17 (2021)

  • Manuel Dibak, Leon Klein, Frank Noé: Temperature-steerable flows. NeurIPS (Workshops) 2020

  • Xenofon Chatziliadis, Eleni Tzirita Zacharatou, Steffen Zeuch, Volker Markl: Monitoring of Stream Processing Engines Beyond the Cloud: an Overview. Open J. Internet Things 7(1): 71-82 (2021)

  • Dimitrios Giouroukis, Johannes Jestram, Steffen Zeuch, Volker Markl: Streaming Data through the IoT via Actor-Based Semantic Routing Trees. Open J. Internet Things 7(1):59-70 (2021)

  • Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Alexander Binder, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek: Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognit. 115: 107899 (2021)

  • Matteo Valleriani, Beate Federau, Olga Nicolaeva: The Hidden Praeceptor: How Georg Rheticus Taught Geocentric Cosmology to Europe. Perspectives in Science (2021), to appear

  • Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati: On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models. Phys. Revi. Lett. 126(032001) (2021)

  • Lluís Raich, Katharina Meier, Judith Günther, Clara D. Christ, Frank Noé, Simon Olsson: Discovery of a hidden transient state in all bromodomain families. PNAS 118(4) (2021)

  • Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller: A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109(5): 756-795 (2021)

  • Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller: Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications. Proc. IEEE 109(3): 247-278 (2021)

  • Ricardo Salazar Diaz, Felix Neutatz, Ziawasch Abedjan: Automated Feature Engineering for Algorithmic Fairness. Proc. VLDB Endow. 14(9): 1694-1702 (2021)

  • Kaustubh Beedkar, David Brekardin, Jorge Arnulfo Quiane Ruiz, Volker Markl: Compliant Geo-distributed Data Processing in Action. Proc. VLDB Endow. 14(12): 2843-2846 (2021)

  • Alexander Renz-Wieland, Tobias Drobisch, Zoi Kaoudi, Rainer Gemulla, Volker Markl: Just Move It! Dynamic Parameter Allocation in Action. Proc. VLDB Endow. 14(12): 2707-2710 (2021)

  • Zihao Chen, Zhizhen Xu, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou: HyMAC: A Hybrid Matrix Computation System. Proc. VLDB Endow. 14(12): 2699-2702 (2021)

  • Rudi Poepsel-Lemaitre, Martin Kiefer, Joscha von Hein, Jorge Arnulfo Quiane Ruiz, Volker Markl: In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All. Proc. VLDB. Endow. 14(10): 1818-1831 (2021)
    https://vldb.org/pvldb/vol14/p1818-poepsel-lemaitre.pdf doi:10.14778/3467861.3467871

  • Felix Neutatz, Felix Bießmann, Ziawasch Abedjan: Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study. SIGMOD Conference 2021: 1345-1358

  • Francesco Ventura, Zoi Kaoudi, Jorge Arnulfo Quiane Ruiz, Volker Markl: Expand your Training Limits! Generating and Labeling Jobs for ML-based Data Management. SIGMOD Conference 2021: 1865-1878

  • Gábor E. Gévay, Jorge-Arnulfo Quiané-Ruiz, Volker Markl: The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap –. SIGMOD Conference 2021: 605-618

  • Kaustubh Beedkar, Jorge Quiane-Ruiz, Volker Markl: Compliant Geo-distributed Query Processing. SIGMOD Conference 2021: 181-193

  • Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp Marian Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch: ExDRa: Exploratory Data Science on Federated Raw Data. SIGMOD Conference 2021: 2450-2463

  • Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl: Parallelizing Intra-Window Join on Multicores: An Experimental Study. SIGMOD Conference 2021: 2089-2101

  • Zihao Chen, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou: Hybrid Evaluation for Distributed Iterative Matrix Computation. SIGMOD Conference 2021: 300-312

  • Jonas Traub, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl: Agora: Bringing Together Datasets, Algorithms, Models and More in a Unified Ecosystem [Vision]. SIGMOD Rec. 49(4): 6-11 (2020)

  • Wojciech Samek, Leila Arras, Ahmed Osman, Grégoire Montavon, Klaus-Robert Müller: Explaining the Decisions of Convolutional and Recurrent Neural Networks. Mathematical Aspects of Deep Learning. Cambridge University Press 2021: 1-33
  • Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima: Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. AAAI 2020: 5842-5850

  • Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig: Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction. ACL 2020: 1534-1545

  • Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig: TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task. ACL 2020: 1558-1569

  • Larysa Visengeriyeva, Ziawasch Abedjan: Anatomy of Metadata for Data Curation. ACM J. Data Inf. Qual. 12(3): 16:1-16:30 (2020)

  • Jonas Traub, Philipp M. Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos,Tilmann Rabl, Volker Markl: Scotty: General and Efficient Open-Source Window Aggregation for Stream Processing Systems. ACM Trans. Database Syst. 46(1): 1:1-1:46 (2021)

  • Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller, Cecilia Clementi: Machine learning for molecular simulation. Annual Rev. Phys. Chem. 71(1): 361-390

  • Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim O. F. Conrad: GraphKKE: graph Kernel Koopman embedding for human microbiome analysis. Appl. Netw. Sci. 5(1): 96 (2020)

  • Nils Strodthoff, Patrick Wagner, Markus Wenzel, Wojciech Samek: UDSMProt: universal deep sequence models for protein classification. BMC Bioinform. 36(8): 2401-2409 (2020)

  • Robin Winter, Joren Retel, Frank Noé, Djork-Arné Clevert, Andreas Steffen: grünifai: interactive multiparameter optimization of molecules in a continuous vector space. Bioinform. 36(13): 4093-4094 (2020)

  • Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff: USMPep: Universal Sequence Models for Major Histocompatibility Complex Binding Affinity Prediction. BMC Bioinform. 21(1): 279 (2020)

  • Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek: Interval Neural Networks as Instability Detectors for Image Reconstructions. BVM 2020

  • Lennart Tautz, Hannu Zhang, Markus Hüllebrand, Matthias Ivantsits, Sebastian Kelle, Titus Kuehne, Volkmar Falk, Anja Hennemuth: Cardiac radiomics: an interactive approach for 4D data exploration. CDBME 6(1) (2020)

  • Matthias Ivantsits, Lennart Tautz, Simon Sündermann, Isaac Wamala, Jörg Kempfert, Titus Kuehne, Volkmar Falk, Anja Hennemuth: DL-based segmentation of endoscopic scenes for mitral valve repair. CDBME 6(1) (2020)

  • Tuan Le, Robin Winter, Frank Noé, Djork-Arné Clevert: Neuraldecipher – reverse-engineering extended-connectivity fingerprints (ECFPs) to their molecular structures. Chem. Sci. 11(38): 10378-10389 (2020)

  • Mahdi Esmailoghli, Ziawasch Abedjan: CAFE: Constraint-Aware Feature Extraction from Large Databases. CIDR 2020

  • Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl: The NebulaStream Platform for Data and Application Management in the Internet of Things. CIDR 2020

  • Danh Le Phuoc, Thomas Eiter: An Adaptive Semantic Stream Reasoning Framework for Deep Neural Networks. CIKM (Workshops) 2020

  • Markus Huellebrand, Daniel Messroghli, Lennart Tautz, Titus Kuehne, Anja Hennemuth: An extensible software platform for interdisciplinary cardiovascular imaging research. Comput. Methods Programs Biomed. 184: 105277 (2020)

  • Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, Odej Kao: Mary, Hugo, and Hugo*: Learning to Schedule Distributed Data-Parallel Processing Jobs on Shared Clusters. Concurr. Comput. Pract. Exp. (2020)

  • Farouk Salem, Florian Schintke, Thorsten Schütt, Alexander Reinefeld: Scheduling data streams for low latency and high throughput on a Cray XC40 using Libfabric. Concurr. Comput. Pract. Exp. 32(20) (2020)

  • Thomas Krenc, Robert Beverly, Georgios Smaragdakis: Keep your communities clean: exploring the routing message impact of BGP communities. CoNEXT 2020: 443-450

  • Andreas Krämer, Jonas Köhler, Frank Noé: Training Neural Networks with Property-Preserving Parameter Perturbations. CoRR abs/2010.07033 (2020)

  • Benjamin Kurt Miller, Mario Geiger, Tess E. Smidt, Frank Noé: Relevance of rotationally equivariant convolutions for predicting molecular properties. CoRR abs/2008.08461 (2020)

  • Çağkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire: Real-time Localization Using Radio Maps. CoRR abs/2006.05397 (2020)

  • Matthias Frey, Igor Bjelakovic, Slawomir Stanczak: Securing Distributed Function Approximation via Coding for Continuous Compound Channels. CoRR abs/2001.03174 (2020)

  • Thorsten Schütt, Florian Schintke, Jan Skrzypczak: Transactions on red-black and AVL trees in NVRAM. CoRR abs/2006.16284 (2020)

  • Frank Noé, Gianni De Fabritiis, Cecilia Clementi: Machine learning for protein folding and dynamics. COSB 60: 77-84 (2020)

  • Arturo Marbán, Daniel Becking, Simon Wiedemann, Wojciech Samek: Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T). CVPR Workshops 2020: 3105-3113

  • Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek: Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. CVPR Workshops 2020: 3096-3104

  • Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl: Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. DaMoN 2019: 8:1-8:11

  • Fatemeh Ganji, Sarah Amir, Shahin Tajik, Domenic Forte, Jean-Pierre Seifert: Pitfalls in Machine Learning-based Adversary Modeling for Hardware Systems. DATE 2020: 514-519

  • Jan Skrzypzcak, Florian Schintke: Towards log-less, fine-granular state machine replication. Datenbank-Spektrum 20(3): 231–241 (2020)

  • Matteo Valleriani: Prolegomena to the Study of Early Modern Commentators on Johannes de Sacrobosco’s Tractatus de sphaera. De sphaera of Johannes de Sacrobosco in the Early Modern Period: The Authors of the Commentaries 2020 1-23

  • Matteo Valleriani: De sphaera of Johannes de Sacrobosco in the Early Modern Period: The Authors of the Commentaries. Springer Nature 2020, ISBN 978-3-030-30833-9

  • Matteo Valleriani, Nana Citron: Conrad Tockler’s Research Agenda. De sphaera of Johannes de Sacrobosco in the Early Modern Period: The Authors of the Commentaries 2020: 111-136

  • Dimitrios Giouroukis, Alexander Dadiani, Jonas Traub, Steffen Zeuch, Volker Markl: A survey of adaptive sampling and filtering algorithms for the internet of things. DEBS 2020: 27-38

  • Pedro Silva, Wang Yue, Tilmann Rabl: Incremental stream query analytics. DEBS 2020: 187-192

  • Florian Kräutli, Daan Lockhorst, Matteo Valleriani: Calculating Sameness: Identifying Early-Modern Image Reuse Outside the Black Box. Digit. Scholarsh. Humanit. (2020)

  • David Lassner, Anne Baillot, Sergej Dogadov, Klaus-Robert Müller, Shinichi Nakajima: Automatic Identification of Types of Alterations in Historical Manuscripts. Digital Humanity Quarterly (2020), to appear

  • Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl: Disco: Efficient Distributed Window Aggregation. EDBT 2020: 423-426

  • Ankit Chaudhary, Steffen Zeuch, Volker Markl: Governor: Operator Placement for a Unified Fog-Cloud Environment. EDBT 2020: 631-634

  • Haralampos Gavriilidis, Adrian Michalke, Laura Mons, Steffen Zeuch, Volker Markl: Scaling a Public Transport Monitoring System to Internet of Things Infrastructures. EDBT 2020: 627-630

  • Sergey Redyuk, Volker Markl, Sebastian Schelter: Towards Unsupervised Data Quality Validation on Dynamic Data. EDBT/ICDT Workshops 2020.

  • Niklas Semmler, Matthias Rost, Georgios Smaragdakis, Anja Feldmann: Edge replication strategies for wide-area distributed processing. EdgeSys@EuroSys 2020: 1-6

  • Sarah Nordmeyer, Florian Hellmeier, Pavel Yevtushenko, Marcus Kelm, Chong-Bin Lee, Daniel Lehmann, Siegfried Kropf, Felix Berger, Volkmar Falk, Christoph Knosalla, Titus Kuehne, Leonid Goubergrits: Abnormal aortic flow profiles persist after aortic valve replace-ment in the majority of patients with aortic valve disease: how model-based personalized therapy planning could improve results. A pilot study approach. Eur. J. Cardiothorac. Surg. 57(1): 133-141 (2020)

  • Alexander Warnecke, Daniel Arp, Christian Wressnegger, Konrad Rieck: Evaluating Explanation Methods for Deep Learning in Computer Security. EuroS&P 2020: 158-174

  • Mahsa Ghanbari, Uwe Ohler: Deep neural networks for interpreting RNA-binding protein target preferences. Genome Res. 30(2): 214-226 (2020)

  • Siddhant Agarwal, Nicola Tosi, Doris Breuer, Sebastiano Padovan, Pan Kessel, Grégoire Montavon: A machine-learning-based surrogate model of Mars’ thermal evolution. Geophys. J. Int. 222(3): 1656–1670 (2020)

  • Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire: Deep Learning for Geometrically-Consistent Angular Power Spread Function Estimation in Massive MIMO. GLOBECOM 2020: 1-6

  • Johannes Stegbauer, Milena Kraus, Sarah Nordmeyer, Marieluise Kirchner, Matthias Ziehm, Henrik Dommisch, Sebastian Kelle, Marcus Kelm, Istvan Baczko, Ulf Landmesser, Carsten Tschöpe, Christoph Knosalla, Martin Falcke, Matthieu P. Schapranow, Vera Regitz-Zagrosek, Philipp Mertins, Titus Kuehne: Proteomic Analysis Reveals Upregulation of ACE2 (Angiotensin-Converting Enzyme 2), the Pu-tative SARS-CoV-2 Receptor in Pressure-but Not Volume-Overloaded Human Hearts. Hypertension 76(6) (2020)

  • Nils Wisiol, Christopher Mühl, Niklas Pirnay, Phuong Ha Nguyen, Marian Margraf, Jean-Pierre Seifert, Marten van Dijk, Ulrich Rührmair: Splitting the Interpose PUF: A Novel Modeling Attack Strategy. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2020(3): 97-120 (2020)

  • Felix Sattler, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek: On the Byzantine Robustness of Clustered Federated Learning. ICASSP 2020: 8861-8865

  • Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Patrick Agostini, Daniel Schäufele, Matthias Frey, Igor Bjelakovic, Sławomir Stanczak: Quality-of-Service Prediction for Physical-layer Security via Secrecy Maps. ICASSP 2020: 2867-2871

  • Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire: Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. ICASSP 2020: 8678-8682

  • Susanna Schwarzmann, Clarissa Cassales Marquezan, Riccardo Trivisonno, Shinichi Nakajima, Thomas Zinner: Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks. ICC 2020: 1-6

  • Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Bertty Contreras-Rojas, Rodrigo Pardo-Meza, Anis Troudi, Sanjay Chawla: ML-based Cross-Platform Query Optimization. ICDE 2020: 1489-1500

  • David Neumann, Felix Sattler, Heiner Kirchhoffer, Simon Wiedemann, Karsten Müller, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek: Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates. ICIP 2020: 21-25

  • Paul Haase, Heiko Schwarz, Heiner Kirchhoffer, Simon Wiedemann, Talmaj Marinc, Arturo Marbán, Karsten Müller, Wojciech Samek, Detlev Marpe, Thomas Wiegand: Dependent Scalar Quantization For Neural Network Compression. ICIP 2020: 36-40

  • Tamer Ajaj, Klaus-Robert Müller, Gabriel Curio, Thomas Wiegand, Sebastian Bosse: EEG-Based Assessment of Perceived Quality in Complex Natural Images. ICIP 2020: 136-140

  • Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft: Deep Semi-Supervised Anomaly Detection. ICLR 2020

  • Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel: Fairwashing explanations with off-manifold detergent. ICML 2020: 314-323

  • Jonas Köhler, Leon Klein, Frank Noé: Equivariant flows: exact likelihood generative learning for symmetric densities. ICML 2020: 5361-5370

  • Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder: Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. ICPR 2020: 4949-4956

  • Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder: Explanation-Guided Training for Cross-Domain Few-Shot Classification. ICPR 2020: 7609-7616

  • Felix Sattler, Thomas Wiegand, Wojciech Samek: Trends and Advancements in Deep Neural Network Communication. ITU Journal: ICT Discoveries 3(1) (2020)

  • Klaus-Robert Müller: Analysing the Changing Brain: Immediate Brain Plasticity After One Hour of BCI. IEEE BCI: 1-2 (2020)

  • Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen: A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. IEEE BigData 2020: 3488-3493

  • Jonathan Will, Jonathan Bader, Lauritz Thamsen: Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. IEEE BigData 2020: 2851-2856

  • Morgan K. Geldenhuys, Lauritz Thamsen, Odej Kao: Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. IEEE BigData 2020: 434-440

  • Matthias Frey, Igor Bjelaković, Sławomir Stańczak: Over-The-Air Computation in Correlated Channels. ITW 2020: 1-5

  • Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek: Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. IEEE J. Biomed. Health Informatics 25(5): 1519-1528 (2021)

  • Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek: DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. IEEE J. Sel. Top. Signal Process. 14(4): 700-714 (2020)

  • Said Jawad Saidi, Aniss Maghsoudlou, Damien Foucard, Georgios Smaragdakis, Ingmar Poese, Anja Feldmann: Exploring Network-Wide Flow Data with Flowyager. IEEE Trans. Netw. Serv. Manag. 17(4): 1988-2006 (2020)

  • Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller: Optimizing for Measure of Performance in Max-Margin Parsing. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2680-2684 (2020)

  • Jan Skrzypczak, Florian Schintke, Thorsten Schütt: RMWPaxos: Fault-tolerant in-place consensus sequences. IEEE Trans. Parallel Distributed Syst. 31(10): 2392–2405 (2020)

  • Daniyal Amir Awan, Renato Lius Garrido Cavalcante, Slawomir Stanczak: Robust Cell-Load Learning With a Small Sample Set. IEEE Trans. Signal Process. 68: 270-283 (2020)

  • Cheng-Xiang Wang, Marco Di Renzo, Slawomir Stanczak, Sen Wang, Erik G. Larsson: Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges. IEEE Wirel. Commun. 27(1): 16-23 (2020)

  • Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin: Towards Best Practice in Explaining Neural Network Decisions with LRP. IJCNN 2020: 1-7

  • Ziawasch Abedjan, Hagen Anuth, Mahdi Esmailoghli, Mohammad Mahdavi, Felix Neutatz, Binger Chen: Data Science für alle: Grundlagen der Datenprogrammierung. Inform. Spektrum 43(2): 129-136 (2020)

  • Habib Mostafaei, Gabriele Lospoto, Roberto di Lallo, Massimo Rimondini, Giuseppe Di Battista: A framework for multi-provider virtual private networks in software-defined federated networks. Int. J. Netw. Manag. 30(6) (2020)

  • Anja Feldmann, Oliver Gasser, Franziska Lichtblau, Enric Pujol, Ingmar Poese,Christoph Dietzel, Daniel Wagner, Matthias Wichtlhuber, Juan Tapiador, Narseo Vallina-Rodriguez, Oliver Hohlfeld, Georgios Smaragdakis: A View of Internet Traffic Shifts at ISP and IXPs during the COVID-19 Pandemic. Internet Architecture Board COVID-19 Network Impacts Workshop (2020)

  • Anja Feldmann, Oliver Gasser, Franziska Lichtblau, Enric Pujol, Ingmar Poese, Christoph Dietzel, Daniel Wagner, Matthias Wichtlhuber, Juan Tapiador, Narseo Vallina-Rodriguez, Oliver Hohlfeld, Georgios Smaragdakis: The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic. Internet Measurement Conference 2020: 1-18

  • John P. Rula, Philipp Richter, Georgios Smaragdakis, Arthur W. Berger: Who’s left behind?: Measuring Adoption of Application Updates at Scale. Internet Measurement Conference 2020: 710-723

  • Said Jawad Saidi, Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi, Daniel J. Dubois, David R. Choffnes, Georgios Smaragdakis, Anja Feldmann: A Haystack Full of Needles: Scalable Detection of IoT Devices in the Wild. Internet Measurement Conference 2020: 87-100

  • Srdjan Matic, Costas Iordanou, Georgios Smaragdakis, Nikolaos Laoutaris: Identifying Sensitive URLs at Web-Scale. Internet Measurement Conference 2020: 619-633

  • Ilja Behnke, Lukas Pirl, Lauritz Thamsen, Robert Danicki, Andreas Polze, Odej Kao: Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet? IPCCC 2020: 1-6

  • Anja Hennemuth, Christina Unterberg, Sebastian Ulrich Kelle, Martin Uecker, Jens Frahm, Markus Hüllebrand: Automatic Detection of Arrhythmia in ECG-free Real-time MRI. ISMRM 2020: 2206

  • Lilli Kaufhold, Axel Krafft, Christoph Strecker, Markus Huellebrand, Ute Ludwig, Jürgen Hennig, Andreas Harloff, Anja Hennemuth: CNN-based segmentation of vessel lumen and wall in carotid arteries from T1-weighted MRI. ISMRM 2020

  • Ulrich Meyer, Ziawasch Abedjan: Algorithms for Big Data. it Inf. Technol. 62(3-4): 117-118 (2020)

  • Jiang Wang, Stefan Chmiela, Klaus-Robert Müller, Frank Noé, Cecilia Clementi: Ensemble learning of coarse-grained molecular dynamics force fields with a kernel approach. J. Chem. Phys. 152(19): 194106 (2020)

  • Tim Hempel, Nuria Plattner, Frank Noé: Coupling of conformational switches in calcium sensor unraveled with local Markov models and transfer entropy. J. Chem. Theory and Comp. 16(4): 2584-2593 (2020)

  • Ernesto Suárez, Rafal P. Wiewiora, Chris Wehmeyer, Frank Noé, John D. Chodera, Daniel M. Zuckerman: What Markov State Models Can and Cannot Do: Correlation versus Path-Based Observables in Protein-Folding Models. J. Chem. Theory Comput. 17(5): 3119–3133 (2021)

  • Philipp Benner, Martin Vingron: ModHMM: A modular supra-Bayesian genome segmentation method. J. Comput. Biol. 27(4): 442-457 (2020)

  • Fatemeh Ganji, Shahin Tajik, Pascal Stauss, Jean-Pierre Seifert, Mark Tehranipoor, Domenic Forte: Rock’n’roll PUFs: Crafting Provably Secure PUFs from Less Secure Ones. J. Cryptogr. Eng. (2020)

  • Falk Schwendicke, Wojciech Samek, Joachim Krois: Artificial Intelligence in Dentistry: Chances and Challenges. J. Dent. Res. 99(7): 769-774 (2020)

  • Clemens Seibold, Wojciech Samek, Anna Hilsmann, Peter Eisert: Accurate and robust neural networks for face morphing attack detection. J. Inf. Secur. Appl. 53: 102526 (2020)

  • Hao Wu, Frank Noé: Variational approach for learning Markov processes from time series data. J. Nonlinear Sci. 30(1): 23-66 (2020)

  • Sasho Nedelkoski, Mihail Bogojeski, Odej Kao: Learning More Expressive Joint Distributions in Multimodal Variational Methods. LOD (1) 2020: 137-149

  • Frank Noé: Machine learning for molecular dynamics on long timescales. Machine Learning Meets Quantum Physics 2020: 331-372

  • Grégoire Montavon: Introduction to Neural Networks. Machine Learning Meets Quantum Physics 2020: 37-62

  • Kristof T. Schütt, Stefan Chmiela, O. Anatole von Lilienfeld, Alexandre Tkatchenko, Koji Tsuda, Klaus-Robert Müller: Machine Learning Meets Quantum Physics. Lecture Notes in Physics 968, Springer Cham 2020, ISBN 978-3-030-40245-7

  • Stefan Chmiela, Huziel E. Sauceda, Alexandre Tkatchenko, Klaus-Robert Müller: Accurate Molecular Dynamics Enabled by Efficient Physically-Constrained Machine Learning Approaches. Machine Learning Meets Quantum Physics 2020: 129-154

  • Teodora Chitiboi, Mikael Kanski, Lennart Tautz, Anja Hennemuth, Dan Halpern, Mark Sherrid, Leon Axel: Analysis of three-chamber view conventional and tagged cine MRI in patients with suspected hypertrophic cardiomyopathy. Magn. Reson. Mater. Phy. 33: 613–626 (2020)

  • Andreas Mardt, Luca Pasquali, Frank Noé, Hao Wu: Deep learning Markov and Koopman models with physical constraints. MSML 2020: 451-475

  • PCAWG Transcriptome Core Group, Claudia Calabrese, Natalie R. Davidson, et al.: Genomic basis for RNA alterations in cancer. Nat. 578: 129-136 (2020)

  • The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, P. J. Campbell, G. Getz,  et al.: Pan-cancer analysis of whole genomes. Nat. 578: 82-93 (2020)

  • Thomas B. K. Watkins, Emilia L. Lim, Marina Petkovic, et al.: Pervasive chromosomal instability and karyotype order in tumour evolution. Nat. 587: 126–132 (2020)
  • Jan Hermann, Zeno Schätzle, Frank Noé: Deep-neural-network solution of the electronic Schrödinger equation. Nat. Chem. 12(10): 891-897 (2020)

  • Mihail Bogojeski, Leslie Vogt-Maranto, Mark E. Tuckerman, Klaus-Robert Müller, Kieron Burke: Quantum chemical accuracy from density functional approximations via machine learning. Nat. Commun. 11(5223) (2020)

  • Richard P. Koche, Elias Rodriguez-Fos, Konstantin Helmsauer, et al.: Extrachromosomal circular DNA drives oncogenic genome remodeling in neuroblastoma. Nat. Genet. 52: 29–34 (2020)

  • Saioa López, Emilia L. Lim, Stuart Horswell, et al.: Interplay between whole-genome doubling and the accumulation of deleterious alterations in cancer evolution. Nat. Genet. 52(3): 283-293 (2020)

  • Wojciech Samek: Learning with Explainable Trees. Nat. Mach. Intell. 2: 16-17 (2020)

  • Hao Wu, Jonas Köhler, Frank Noé: Stochastic normalizing flows. NeurIPS 2020: 5933-5944

  • Charlotte Schubert, Gareth Archer, Jo M. Zelis, Sarah Nordmeyer, Kilian Runte, Anja Hennemuth, Felix Berger, Volkmar Falk, Pim A. L. Tonino, Rod Hose, Herman Ter Horst, Titus Kuehne, Marcus Kelm: Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease. NPJ Digit Med. 3(92) (2020)

  • Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand: Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements. NPJ Digit. Med. 3(129) (2020)

  • Nina Rank, Boris Pfahringer, Jörg Kempfert, Christof Stamm, Titus Kühne, Felix Schoenrath, Volkmar Falk, Carsten Eickhoff, Alexander Meyer: Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. NPJ Digit. Med. 3: 139 (2020)

  • Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Markl: NebulaStream: Complex Analytics Beyond the Cloud. Open J. Internet Things 6(1): 66-81 (2020)

  • Jacob Kauffmann, Klaus-Robert Müller, Grégoire Montavon: Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models. Pattern Recognit. 101: 107198 (2020)

  • Laura Marx, Matthias M. F. Gsell, Armin Rund, Federica Caforio, Anton J. Prassl, Gabor Toth-Gayor, Titus Kuehne, Christoph M. Augustin, Gernot Plank: Personalization of electro-mechanical models of the pressure-overloaded left ventricle: fitting of Wind-kessel-type afterload models. Philos. Trans. A Math. Phys. Eng. Sci. 378(2173): 20190342 (2020)

  • Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel: Asymptotically Unbiased Estimation of Physical Observables with Neural Samplers. Phys. Rev. E 101(023304) (2020)

  • Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl: Dynamic Parameter Allocation in Parameter Servers. Proc. VLDB Endow. 13(11): 1877-1890 (2020)

  • Julius Hülsmann, Jonas Traub, Volker Markl: Demand-based Sensor Data Gathering with Multi-Query Optimization. Proc. VLDB Endow. 13(12): 2801–2804 (2020)

  • Markus Dreseler, Martin Boissier, Tilmann Rabl, Matthias Uflacker: Quantifying TPC-H Choke Points and Their Optimizations. Proc. VLDB Endow. 13(8): 1206-1220 (2020)

  • Martin Kiefer, Ilias Poulakis, Sebastian Breß, Volker Markl: Scotch: Generating FPGA-Accelerators for Sketching at Line Rate. Proc. VLDB Endow. 14(3): 241-457 (2020)

  • Jeyhun Karimov, Tilmann Rabl, Volker Markl: AJoin: Ad-hoc Stream Joins at Scale. Proc. VLDB Endow. 13(4): 435-448 (2019)

  • Milena T. Bagdasarian, Anna Hilsmann, Peter Eisert, Gabriel Curio, Klaus-Robert Müller, Thomas Wiegand, Sebastian Bosse: EEG-Based Assessment of Perceived Realness in Stylized Face Images. QoMEX 2020: 1-4

  • Philipp Leinen, Malte Esders, Kristof T. Schütt, Christian Wagner, Klaus-Robert Müller, F. Stefan Tautz: Autonomous robotic nanofabrication with reinforced learning. Sci. Adv. 6(36) (2020)

  • Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Dieter Kreiseler, Fatima I. Lunze, Wojciech Samek, Tobias Schaeffter: PTB-XL, A Large Publicly Available Electrocardiography Dataset. Sci. Data 7 (2020)

  • Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder: Resolving Challenges in Deep Learning-Based Analyses of Histopathological Images using Explanation Methods. Sci. Rep. 10 (2020)

  • Zamani Maryam, Alejandro Tejedor, Malte Vogl, Florian Kräutli, Matteo Valleriani, Holger Kantz: Evolution and Transformation of Early Modern Cosmological Knowledge: A Network Study. Sci. Rep. 10(19822) (2020)

  • Dong-Ok Won, Klaus-Robert Müller, Seong-Whan Lee: An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions. Sci. Robotics 5(46) (2020)

  • Roberto Lalli, Riaz Howey, Dirk Wintergrün: The dynamics of collaboration networks and the history of general relativity, 1925-1970. Scientometrics 122(2): 1129-1170 (2020)

  • Anh Le-Tuan, Conor Hayes, Manfred Hauswirth, Danh Le-Phuoc: Pushing the Scalability of RDF Engines on IoT Edge Devices. Sensors 20(10): 2788 (2020)

  • Muhammad Imran, Gábor E. Gévay, Volker Markl: Distributed Graph Analytics with Datalog Queries in Flink. SFDI/LSGDA@VLDB 2020: 70-83

  • Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan, Tilmann Rabl, Volker Markl: Optimizing Machine Learning Workloads in Collaborative Environments. SIGMOD Conference 2020: 1701-1716

  • Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl: Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines. SIGMOD Conference 2020: 2471-2486

  • Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl: Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. SIGMOD Conference 2020: 1633-1649

  • Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl: Grizzly: Efficient Stream Processing Through Adaptive Query Compilation. SIGMOD Conference 2020: 2487-2503

  • Erwin Quiring, Konrad Rieck: Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. SP Workshops 2020: 41-47

  • Matthias Ivantsits, Markus Hüllebrand, Hannu Zhang, Peter Kohlmann, Jan-Martin Kuhnigk, Titus Kühne, Stefan O. Schönberg, Anja Hennemuth: Comparison of a Hybrid Mixture Model and a CNN for the Segmentation of Myocardial Pathologies in Delayed Enhancement MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 319-327

  • Jürgen Renn: The evolution of knowledge: rethinking science for the Anthropocene. Princeton University Press 2020, ISBN 978-0-691-17198-2

  • Robert Lalli, Riaz Howey, Dirk Wintergrün: The socio-epistemic networks of general relativity, 1925–1970. The Renaissance of General Relativity in Context 2020: 15-84

  • Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon: Building and Interpreting Deep Similarity Models. TPAMI 2020, early access

  • Felix Sattler, Klaus-Robert Müller, Wojciech Samek: Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints. Trans. Neural Networks Learn. Syst. 31(9): 1-13 (2020)

  • Luis Oala, Cosmas Heiß, Jan Macdonald, Maximilian März, Wojciech Samek, Gitta Kutyniok: Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty. UDL@ICML 2020

  • Erwin Quiring, David Klein, Daniel Arp, Martin Johns, Konrad Rieck: Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning. USENIX Security Symposium 2020: 1363-1380

  • Sebastian Kruse, Zoi Kaoudi, Bertty Contreras-Rojas, Sanjay Chawla, Felix Naumann, Jorge-Arnulfo Quiané-Ruiz: RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. VLDB J. 29(6): 1287-1310 (2020)