Publications

Shreya Arya, Justin Curry, and Sayan Mukherjee. A Sheaf-Theoretic Construction of Shape Space. Foundations of Computational Mathematics, May 2024. [PUMA: imported]

Konstantin Dietrich, Diederick Vermetten, Carola Doerr, and Pascal Kerschke. Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. 2024. [PUMA: imported] URL

Angel Garcia-Chung, Marisol Bermúdez-Montaña, Peter F. Stadler, Jürgen Jost, and Guillermo Restrepo. Chemically inspired Erd\Hos-Rényi oriented hypergraphs. 2023. [PUMA: imported] URL

Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, and Heike Trautmann. Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. 2024. [PUMA: imported] URL

Carsten Lutz, and Lukas Schulze. Description Logics with Abstraction and Refinement. In Pierre Marquis, Tran Cao Son, and Gabriele Kern-Isberner (Eds.), Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, KR 2023, Rhodes, Greece, September 2-8, 2023, 492--501, 2023. [PUMA: imported]

Youngsoo Baek, Wilkins Aquino, and Sayan Mukherjee. Generalized Bayes approach to inverse problems with model misspecification. Inverse Problems, (39)10:105011, IOP Publishing, September 2023. [PUMA: imported] URL

Luc\'ıa Gómez Álvarez, Sebastian Rudolph, and Hannes Straß. How to Agree to Disagree: Managing Ontological Perspectives using Standpoint Logic. In Ulrike Sattler, Aidan Hogan, Maria Keet, Valentina Presutti, João Paulo A. Almeida, Hideaki Takeda, Pierre Monnin, Giuseppe Pirrò, and Claudia d'Amato (Eds.), Proceedings of the 21st International Semantic Web Conference (ISWC 22), (13489)Springer, October 2022. [PUMA: imported]

Shima Asaadi, Eugenie Giesbrecht, and Sebastian Rudolph. Compositional matrix-space models of language: Definitions, properties, and learning methods. Natural Language Engineering, (29)1:1--49, Cambridge University Press, January 2023. [PUMA: imported]

Luc\'ıa Gómez Álvarez, Sebastian Rudolph, and Hannes Straß. Tractable Diversity: Scalable Multiperspective Ontology Management via Standpoint EL. Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, 3258--3267, ijcai.org, 2023. [PUMA: imported]

Marcos E. González Laffitte, and Peter F. Stadler. Progressive Multiple Alignment of Graphs. Algorithms, (17)32024. [PUMA: imported] URL

Brian St. Thomas, Kisung You, Lizhen Lin, Lek-Heng Lim, and Sayan Mukherjee. Learning Subspaces of Different Dimensions. Journal of Computational and Graphical Statistics, (31)2:337--350, ASA Website, 2022. [PUMA: imported] URL

S. Mehrdad, D. Handorf, I. Höschel, K. Karami, J. Quaas, S. Dipu, and C. Jacobi. Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach. EGUsphere, (2024):1--55, 2024. [PUMA: imported] URL

Ravi Pradip, and Frank Cichos. Deep reinforcement learning with artificial microswimmers. 63, October 2022. [PUMA: imported]

Abhinav Singh, Ivo F. Sbalzarini, and Anas Obeidat. Entropically damped artificial compressibility for the discretization corrected particle strength exchange method in incompressible fluid mechanics. Computers & Fluids, (267):106074, Elsevier BV, December 2023. [PUMA: imported] URL

Lukas Silvester Barth, Fatemeh, Fahimi, Parvaneh Joharinad, Jürgen Jost, and Janis Keck. IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations. 2024. [PUMA: imported] URL

Henry Kirveslahti, and Sayan Mukherjee. Representing fields without correspondences: the lifted Euler characteristic transform. Journal of Applied and Computational Topology, (8):1--34, August 2023. [PUMA: imported]

Florian Emmrich, Luc\'ıa Gómez Álvarez, and Hannes Straß. Automated Reasoning Support for Standpoint-OWL 2. In Sergio de Cesare, and Tiago Prince Sales (Eds.), Proceedings of th 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), Ontology Showcase and Demonstrations Track, 2023. [PUMA: imported]

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] URL

Christoph Flamm, Stefan Müller, and Peter F. Stadler. Every atom-atom map can be explained by electron pushing diagrams. 2023. [PUMA: imported] URL

Yun Wei, Sayan Mukherjee, and XuanLong Nguyen. Minimum $\Phi$-distance estimators for finite mixing measures. April 2023. [PUMA: imported]