Theis, Fabian J

26 publications

ICLR 2025 Disentangled Representation Learning with the Gromov-Monge Gap Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J Theis, Zeynep Akata, Marco Cuturi

ICML 2025 Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation Alessandro Palma, Sergei Rybakov, Leon Hetzel, Stephan Günnemann, Fabian J Theis

ICLRW 2025 Interpretable Self-Supervised Prototype Learning for Single-Cell Transcriptomics Fatemeh S. Hashemi Golpayegani, Till Richter, Alejandro Tejada Lapuerta, Lennard Halle, Mohammad Lotfollahi, Fabian J Theis

ICLR 2025 MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J Theis, Stephan Günnemann

NeurIPS 2025 Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow Kristiyan Sakalyan, Alessandro Palma, Filippo Guerranti, Fabian J Theis, Stephan Günnemann

ICLR 2025 Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen Alessandro Palma, Till Richter, Hanyi Zhang, Manuel Lubetzki, Alexander Tong, Andrea Dittadi, Fabian J Theis

ICLRW 2025 Unsupervised Deep Disentangled Representation of Single-Cell Omics with DRVI Amir Ali Moinfar, Fabian J Theis

NeurIPS 2024 A Benchmark for Prediction of Transcriptomic Responses to Chemical Perturbations Across Cell Types Artur Szałata, Andrew Benz, Robrecht Cannoodt, Mauricio Cortes, Jason Fong, Sunil Kuppasani, Richard Lieberman, Tianyu Liu, Javier A. Mas-Rosario, Rico Meinl, Jalil Nourisa, Jared Tumiel, Tin M. Tunjic, Mengbo Wang, Noah Weber, Hongyu Zhao, Benedict Anchang, Fabian J. Theis, Malte D. Luecken, Daniel B. Burkhardt

ICMLW 2024 Disentangled Representation Learning Through Geometry Preservation with the Gromov-Monge Gap Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J Theis, Zeynep Akata, Marco Cuturi

ICLRW 2024 Disentanglement via Mechanism Sparsity by Replaying Realizations of the past Soroor Hediyeh-zadeh, Tom Fischer, Fabian J Theis

ICMLW 2024 TarDis: Achieving Robust and Structured Disentanglement of Multiple Covariates Kemal Inecik, Aleyna Kara, Antony Rose, Muzlifah Haniffa, Fabian J Theis

ICLR 2024 Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J Theis

ICLRW 2024 cellFlow: A Generative Flow-Based Model for Single-Cell Count Data Alessandro Palma, Till Richter, Hanyi Zhang, Andrea Dittadi, Fabian J Theis

NeurIPSW 2023 Modelling Single-Cell RNA-Seq Trajectories on a Flat Statistical Manifold Alessandro Palma, Sergei Rybakov, Leon Hetzel, Fabian J Theis

NeurIPSW 2023 SpatialSSL: Whole-Brain Spatial Transcriptomics in the Mouse Brain with Self-Supervised Learning Till Richter, Anna Schaar, Francesca Drummer, Cheng-Wei Liao, Leopold Endres, Fabian J Theis

ICLRW 2023 The Power of Motifs as Inductive Bias for Learning Molecular Distributions Johanna Sommer, Leon Hetzel, David Lüdke, Fabian J Theis, Stephan Günnemann

NeurIPS 2023 Training Transitive and Commutative Multimodal Transformers with LoReTTa Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman

NeurIPSW 2023 flowVI: Flow Cytometry Variational Inference Kemal Inecik, Adil Meric, Fabian J Theis

NeurIPSW 2022 Modeling Single-Cell Dynamics Using Unbalanced Parameterized Monge Maps Luca Eyring, Dominik Klein, Giovanni Palla, Sören Becker, Philipp Weiler, Niki Kilbertus, Fabian J Theis

NeurIPS 2022 Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution Leon Hetzel, Simon Boehm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis

ICLRW 2022 Predicting Single-Cell Perturbation Responses for Unseen Drugs Leon Hetzel, Simon Boehm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J Theis

NeurIPS 2022 Sparsity in Continuous-Depth Neural Networks Hananeh Aliee, Till Richter, Mikhail Solonin, Ignacio Ibarra, Fabian J. Theis, Niki Kilbertus

ICLRW 2022 SystemMatch: Optimizing Preclinical Drug Models to Human Clinical Outcomes via Generative Latent-Space Matching Scott Gigante, Varsha G. Raghavan, Amanda M Robinson, Robert A. Barton, Adeeb H. Rahman, Drausin F. Wulsin, Jacques Banchereau, Noam Solomon, Luis F. Voloch, Fabian J Theis

NeurIPS 2006 Towards a General Independent Subspace Analysis Fabian J. Theis

NeCo 2004 A New Concept for Separability Problems in Blind Source Separation Fabian J. Theis

NeCo 2003 Linear Geometric ICA: Fundamentals and Algorithms Fabian J. Theis, Andreas Jung, Carlos García Puntonet, Elmar Wolfgang Lang