Publications

Shahbaz Syed, Dominik Schwabe, Khalid Khatib, and Martin Potthast. Indicative Summarization of Long Discussions. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2752–2788, Association for Computational Linguistics, 2023. [PUMA: topic_language imported] URL

Vahid Sadiri Javadi, Martin Potthast, and Lucie Flek. OpinionConv: Conversational Product Search with Grounded Opinions. Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 66–76, Association for Computational Linguistics, 2023. [PUMA: topic_language imported] URL

Benno Stein, Arno Simons, Martin Potthast, Saskia Hagen, and Kai Wörner. Protokoll 24. ChatGPT und andere »Quatschmaschinen«, 170–191, transcript Verlag, October 2023. [PUMA: topic_language imported] URL

Tim Gollub, Jason Brockmeyer, Benno Stein, and Martin Potthast. Dynamic Exploratory Search for the Information Retrieval Anthology. European Conference on Information Retrieval, 242--247, 2023. [PUMA: topic_language imported]

Niklas Deckers, and Martin Potthast. Towards the Reproducible Evaluation of Generative Information Retrieval Systems. Workshop on the impact of generative AI on search and search engine research, September 2023. [PUMA: topic_language imported]

Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Munoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, and Leandro von Werra. SantaCoder: don't reach for the stars!. 2023. [PUMA: topic_language imported] URL

Birte Platow. Verdrängung des Menschen?. Zuversichtsargumente, 245--264, Brill Schöningh, 2022. [PUMA: area_responsibleai imported]

Carina Geldhauser, and Hermann Diebel-Fischer. Is diverse and inclusive AI trapped in the gap between reality and algorithmizability?. Northern Lights Deep Learning Conference, 75--80, 2024. [PUMA: area_responsibleai imported]

Hermann Diebel-Fischer, Nicole Kunkel, and Julian Zeyher-Quattlender. Mensch und Maschine im Zeitalter" Künstlicher Intelligenz": theologisch-ethischer Herausforderungen. (45)LIT Verlag Münster, 2023. [PUMA: area_responsibleai imported]

Hermann Diebel-Fischer, and Lutz Hellmig. Ethische Fragen und informatische Modelle – eine symbiotische Beziehung in der informatischen Bildung. 755--760, Gesellschaft für Informatik,Bonn, 2022. [PUMA: area_responsibleai imported]

Hermann Diebel-Fischer, Lutz Hellmig, and Maya Tischler. Technik und Verantwortung im Zeitalter der Digitalisierung. Universität Rostock, 2022. [PUMA: area_responsibleai imported]

Hermann Diebel-Fischer. Künstliche Intelligenz und Ethik: Von der Unberechenbarkeit moralischer Erwägungen. Evangelische Aspekte, (34)1:25--27, Evangelische Akademikerschaft in Deutschland e. V., 2024. [PUMA: area_responsibleai imported]

Robin Maack, Gerik Scheuermann, Jose Hernandez, and Christina Gillmann. Uncertainty-aware Visual Analytics - Scope, Oppertunities and Challenges. The Visual Computer, (39):6345--6366, December 2023. [PUMA: imported]

Hermann Diebel-Fischer, and Christoph Lehmann. Lost in translation? Capturing the world in data considering ethics. June 2022. [PUMA: unit_transfer area_responsibleai imported]

Aryaman Gupta, Pietro Incardona, Paul Hunt, Guido Reina, Steffen Frey, Stefan Gumhold, Ulrik Günther, and Ivo Sbalzarini. Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data. June 2022. [PUMA: topic_visualcomputing topic_lifescience imported]

Michelle Nixon, Jeffrey Letourneau, Lawrence David, Sayan Mukherjee, and Justin Silverman. A Statistical Analysis of Compositional Surveys. January 2022. [PUMA: topic_mathfoundation imported]

Diego Alamo, Jens Meiler, and Hassane Mchaourab. Principles of Alternating Access in LeuT-fold Transporters: Commonalities and Divergences. May 2022. [PUMA: topic_lifescience imported]

Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein, and Martin Potthast. Trigger Warnings: Bootstrapping a Violence Detector for FanFiction. September 2022. [PUMA: topic_language imported]

Philipp Sauer, Janek Bevendorff, Lukas Gienapp, Wolfgang Kircheis, Erik Körner, Benno Stein, and Martin Potthast. SMAuC -- The Scientific Multi-Authorship Corpus. November 2022. [PUMA: topic_language imported]

Teven Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić, Daniel Hesslow, Roman Castagné, Alexandra Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander Rush, Stella Biderman, Albert Webson, Pawan Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Moral, and Thomas Wolf. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. November 2022. [PUMA: topic_language imported]

Carsten Lutz, and Quentin Manière. Adding Circumscription to Decidable Fragments of First-Order Logic: A Complexity Rollercoaster. July 2024. [PUMA: topic_knowledge imported]

Richard Grunzke, Volker Hartmann, T. Jejkal, Ajinkya Prabhune, Hendrik Herold, Aline Deicke, Alexander Hoffmann, Torsten Schrade, Gotthard Meinel, Sonja Herres-Pawlis, Rainer Stotzka, and Wolfgang Nagel. Towards a metadata-driven multi-community research data management service. February 2017. [PUMA: imported]

Mehdi Ali, Charles Hoyt, Daniel Domingo-Fernández, and Jens Lehmann. Predicting Missing Links Using PyKEEN. August 2019. [PUMA: imported]

Michael Völske, Janek Bevendorff, Johannes Kiesel, Benno Stein, Maik Fröbe, Matthias Hagen, and Martin Potthast. Web Archive Analytics. July 2021. [PUMA: imported]

Afshin Sadeghi, Damien Graux, and Jens Lehmann. MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs. May 2019. [PUMA: imported]

David Schaller, Marc Hellmuth, and Peter Stadler. A Linear-Time Algorithm for the Common Refinement of Rooted Phylogenetic Trees on a Common Leaf Set. July 2021. [PUMA: imported]

Stefan Borgwardt, Filippo De Bortoli, and Patrick Koopmann. The Precise Complexity of Reasoning in $ALC$ with $ømega$-Admissible Concrete Domains (Extended Version). 2024. [PUMA: topic_knowledge imported] URL

Franz Baader, and Filippo De Bortoli. Logics with Concrete Domains: First-Order Properties, Abstract Expressive Power, and (Un)Decidability. SIGAPP Appl. Comput. Rev., (24)3:5–17, Association for Computing Machinery, New York, NY, USA, Oct 8, 2024. [PUMA: topic_knowledge imported] URL

C.J.R. Murphy-Barltrop, and J.L. Wadsworth. Modelling Non-Stationarity in Asymptotically Independent Extremes. Computational Statistics and Data Analysis, (199):108025, Elsevier BV, November 2024. [PUMA: topic_mathfoundation imported] URL

E. B. L. Mackay, C. J. R. Murphy-Barltrop, and P. Jonathan. The SPAR Model: A New Paradigm for Multivariate Extremes: Application to Joint Distributions of Metocean Variables. Journal of Offshore Mechanics and Arctic Engineering, (147)1ASME International, July 2024. [PUMA: topic_mathfoundation imported] URL

C. J. R. Murphy-Barltrop, J. L. Wadsworth, and E. F. Eastoe. Improving Estimation for Asymptotically Independent Bivariate Extremes via Global Estimators for the Angular Dependence Function. Extremes, Aug 13, 2024. [PUMA: topic_mathfoundation imported] URL

Robert Haase, Christian Tischer, Jean-Karim Heriche, and Nico Scherf. Benchmarking Large Language Models for Bio-Image Analysis Code Generation. Cold Spring Harbor Laboratory, April 2024. [PUMA: unit_transfer topic_neuroinspired imported] URL

Aryaman Gupta, Ulrik Günther, Pietro Incardona, Guido Reina, Steffen Frey, Stefan Gumhold, and Ivo F. Sbalzarini. Efficient Raycasting of Volumetric Depth Images for Remote Visualization of Large Volumes at High Frame Rates. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), (19):61�70, IEEE, April 2023. [PUMA: topic_visualcomputing topic_lifescience imported] URL

Nesrine Khouzami, Friedrich Michel, Pietro Incardona, Jeronimo Castrillon, and Ivo F. Sbalzarini. Model-based autotuning of discretization methods in numerical simulations of partial differential equations. Journal of Computational Science, (57):101489, Elsevier BV, January 2022. [PUMA: topic_software topic_lifescience imported] URL

Giovanni Volpe, Carolina W�hlby, Lei Tian, Michael Hecht, Artur Yakimovich, Kristina Monakhova, Laura Waller, Ivo F. Sbalzarini, Christopher A. Metzler, Mingyang Xie, Kevin Zhang, Isaac C. D. Lenton, Halina Rubinsztein-Dunlop, Daniel Brunner, Bijie Bai, Aydogan Ozcan, Daniel Midtvedt, Hao Wang, Nata�a Sladoje, Joakim Lindblad, Jason T. Smith, Marien Ochoa, Margarida Barroso, Xavier Intes, Tong Qiu, Li-Yu Yu, Sixian You, Yongtao Liu, Maxim A. Ziatdinov, Sergei V. Kalinin, Arlo Sheridan, Uri Manor, Elias Nehme, Ofri Goldenberg, Yoav Shechtman, Henrik K. Moberg, Christoph Langhammer, Barbora �pa?kov�, Saga Helgadottir, Benjamin Midtvedt, Aykut Argun, Tobias Thalheim, Frank Cichos, Stefano Bo, Lars Hubatsch, Jesus Pineda, Carlo Manzo, Harshith Bachimanchi, Erik Selander, Antoni Homs-Corbera, Martin Fr�nzl, Kevin de Haan, Yair Rivenson, Zofia Korczak, Caroline Beck Adiels, Mite Mijalkov, D�niel Ver�b, Yu-Wei Chang, Joana B. Pereira, Damian Matuszewski, Gustaf Kylberg, Ida-Maria Sintorn, Juan C. Caicedo, Beth A Cimini, Muyinatu A. Lediju Bell, Bruno M. Saraiva, Guillaume Jacquemet, Ricardo Henriques, Wei Ouyang, Trang Le, Estibaliz G�mez de Mariscal, Daniel Sage, Arrate Mu�oz-Barrutia, Ebba Josefson Lindqvist, and Johanna Bergman. Roadmap on Deep Learning for Microscopy. 2023. [PUMA: topic_physchemistry topic_mathfoundation topic_lifescience imported] URL

Charlotte Beylier, Simon M. Hofmann, and Nico Scherf. Revealing the learning process in reinforcement learning agents through attention-oriented metrics. 2024. [PUMA: topic_neuroinspired imported] URL

Nikola Milosevic, Gesine M�ller, Jan Huisken, and Nico Scherf. Open Problem: Active Representation Learning. 2024. [PUMA: topic_neuroinspired imported] URL

Abhinav Singh, Quentin Vagne, Frank Jülicher, and Ivo F. Sbalzarini. Spontaneous flow instabilities of active polar fluids in three dimensions. Phys. Rev. Res., (5)2:L022061, American Physical Society, June 2023. [PUMA: topic_lifescience imported] URL

Johannes Pahlke, and Ivo F. Sbalzarini. Computational Power of Particle Methods. CoRR, (abs/2304.10286)2023. [PUMA: topic_lifescience imported]

Huw Colin?York, John Heddleston, Eric Wait, Narain Karedla, Michael deSantis, Satya Khuon, Teng?Leong Chew, Ivo F. Sbalzarini, and Marco Fritzsche. Quantifying Molecular Dynamics within Complex Cellular Morphologies using LLSM?FRAP (Small Methods 6/2022). Small Methods, (6)6Wiley, June 2022. [PUMA: topic_lifescience imported] URL

Pietro Incardona, Aryaman Gupta, Serhii Yaskovets, and Ivo F. Sbalzarini. A portable C++ library for memory and compute abstraction on multi?core CPUs and GPUs. Concurrency and Computation: Practice and Experience, (35)25Wiley, July 2023. [PUMA: topic_lifescience imported] URL

Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman, Christian L. Müller, and Ivo F. Sbalzarini. STENCIL-NET for equation-free forecasting from data. Scientific Reports, (13)1Springer Science and Business Media LLC, August 2023. [PUMA: topic_lifescience imported] URL

Abhinav Singh, Philipp H. Suhrcke, Pietro Incardona, and Ivo F. Sbalzarini. A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence. Physics of Fluids, (35)10AIP Publishing, October 2023. [PUMA: topic_lifescience imported] URL

Tina Subic, and Ivo F. Sbalzarini. A Gaussian jump process formulation of the reaction�diffusion master equation enables faster exact stochastic simulations. The Journal of Chemical Physics, (157)19AIP Publishing, November 2022. [PUMA: topic_lifescience imported] URL

Lennart J. Schulze, Sachin K. Thekke Veettil, and Ivo F. Sbalzarini. A high-order fully Lagrangian particle level-set method for dynamic surfaces. CoRR, (abs/2306.07986)2023. [PUMA: topic_lifescience imported]

Mateusz Susik, Holger Schönborn, and Ivo F. Sbalzarini. Hamiltonian Monte Carlo with strict convergence criteria reduces run-to-run variability in forensic DNA mixture deconvolution. Forensic Science International: Genetics, (60):102744, Elsevier BV, September 2022. [PUMA: topic_lifescience imported] URL

Mateusz Susik, and Ivo F. Sbalzarini. Variational inference accelerates accurate DNA mixture deconvolution. Forensic Science International: Genetics, (65):102890, Elsevier BV, July 2023. [PUMA: topic_lifescience imported] URL

Sarah Perez, Suryanarayana Maddu, Ivo F. Sbalzarini, and Philippe Poncet. Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems. J. Comput. Phys., (491):112342, 2023. [PUMA: topic_lifescience imported]

Abhinav Singh, Landfried Kraatz, Pietro Incardona, and Ivo F. Sbalzarini. A Distributed Algebra System for Time Integration on Parallel Computers. CoRR, (abs/2309.05331)2023. [PUMA: topic_lifescience imported]

Dominik Sturm, Suryanarayana Maddu, and Ivo F. Sbalzarini. Learning locally dominant force balances in active particle systems. CoRR, (abs/2307.14970)2023. [PUMA: topic_lifescience imported]