Publications

Fabian Hart, Ostap Okhrin, and Martin Treiber. Towards robust car-following based on deep reinforcement learning. Transportation Research Part C: Emerging Technologies, (159):104486, 2024. [PUMA: Car-following; Generalization; Reinforcement; String Validation; capabilities; learning; model; stability topic_engineering yaff]

Mikael Vejdemo-Johansson, CUNY College of Staten Island, and 2800 Victory Boulevard, 1S-215, Staten Island, NY 10314, USA, Sayan Mukherjee, CUNY Graduate Center, 365 5th Avenue, and New York NY 10016, USA, Center for Scalable Data Analytics and and Artificial Intelligence, Universit¨at Leipzig, and Humboldtstraße 25, Leipzig, Germany 04105, Max Planck and Institute for Mathematics in the Sciences, Inselstraße 22 and 04103 Leipzig Germany, and Departments of Statistical Science, and Mathematics, Computer Science, and Biostatistics & and Bioinformatics, Duke University, Durham, NC 27708, USA. Multiple hypothesis testing with persistent homology. Found. Data Sci., (4)4:667--705, American Institute of Mathematical Sciences (AIMS), 2022. [PUMA: Multiple homology hypothesis persistent testing; topic_mathfoundation yaff]

Michele Caprio, and Sayan Mukherjee. Ergodic theorems for dynamic imprecise probability kinematics. International Journal of Approximate Reasoning, (152):325-343, 2023. [PUMA: Dynamic Ergodic Imprecise Lower Strong Subjective imprecise kinematics large law numbers probabilities probability topic_mathfoundation xack yaff] URL

Antonio Bikić, and Sayan Mukherjee. Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs. 2024. [PUMA: ANN Intelligence; Pragmatist Usefulness; topic_mathfoundation yaff] URL

Andrea Agazzi, Jianfeng Lu, and Sayan Mukherjee. Global optimality of Elman-type RNNs in the mean-field regime. In Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, and Jonathan Scarlett (Eds.), Proceedings of the 40th International Conference on Machine Learning, (202):196--227, PMLR, 23--29 Jul 2023. [PUMA: Elman-type Optimality, mean-field regime topic_mathfoundation xack yaff {RNN}s,] URL

Vincent D. Friedrich, Peter Pennitz, Emanuel Wyler, Julia M. Adler, Dylan Postmus, Kristina Müller, Luiz Gustavo Teixeira Alves, Julia Prigann, Fabian Pott, Daria Vladimirova, Thomas Hoefler, Cengiz Goekeri, Markus Landthaler, Christine Goffinet, Antoine-Emmanuel Saliba, Markus Scholz, Martin Witzenrath, Jakob Trimpert, Holger Kirsten, and Geraldine Nouailles. Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease. eBioMedicine, (108):105312, 2024. [PUMA: COVID-19, Cross-species Deep Disease Hamster RNA-seq, Single-cell analysis, learning matching, model, state topic_mathfoundation xack yaff] URL

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

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

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: imported topic_lifescience xack yaff]

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: imported topic_lifescience xack yaff] URL

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

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

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

David Schaller, Marc Hellmuth, and Peter F. Stadler. Orientation of Fitch Graphs and Detection of Horizontal Gene Transfer in Gene Trees. 2021. [PUMA: imported yaff] URL

Maria C Novitasari, Johannes Quaas, and Miguel Rodrigues. Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data. NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023. [PUMA: imported topic_earthenvironment yaff] URL

J. Lenhardt, J. Quaas, and D. Sejdinovic. Marine cloud base height retrieval from MODIS cloud properties using machine learning. Atmospheric Measurement Techniques, to appear, 2024. [PUMA: imported topic_earthenvironment yaff] URL

Maria Novitasari, Johannes Quaas, and Miguel Rodrigues. ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data. NeurIPS 2023 AI for Science Workshop, 2023. [PUMA: imported topic_earthenvironment yaff] URL

Vanessa Volz, Boris Naujoks, Pascal Kerschke, and Tea Tušar. Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games. Applied Soft Computing, (136):110121, 2023. [PUMA: topic_engineering yaff] URL