Huetter, Jan-Christian

14 publications

ICLR 2025 Contextualizing Biological Perturbation Experiments Through Language Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter

ICLRW 2025 Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction Sepideh Maleki, Jan-Christian Huetter, David Richmond, Kangway V. Chuang, Gabriele Scalia, Tommaso Biancalani

ICLR 2025 Modeling Complex System Dynamics with Flow Matching Across Time and Conditions Martin Rohbeck, Edward De Brouwer, Charlotte Bunne, Jan-Christian Huetter, Anne Biton, Kelvin Y. Chen, Aviv Regev, Romain Lopez

ICLRW 2025 Supervised Contrastive Block Disentanglement Taro Makino, Ji Won Park, Natasa Tagasovska, Takamasa Kudo, Paula Coelho, Heming Yao, Jan-Christian Huetter, Ana Carolina Leote, Burkhard Hoeckendorf, Stephen Ra, David Richmond, Kyunghyun Cho, Aviv Regev, Romain Lopez

NeurIPSW 2024 Contextualizing Biological Perturbation Experiments Through Language Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter

NeurIPS 2024 Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mad, Romain Lopez, Kai Liu, Jan-Christian Huetter, David Richmond, Panayiotis V. Benos, Lin Qiu

NeurIPSW 2024 Modeling Complex System Dynamics with Flow Matching Across Time and Conditions Martin Rohbeck, Charlotte Bunne, Edward De Brouwer, Jan-Christian Huetter, Anne Biton, Kelvin Y. Chen, Aviv Regev, Romain Lopez

ICLRW 2024 Multi-ContrastiveVAE Disentangles Perturbation Effects in Single Cell Images from Optical Pooled Screens Zitong Jerry Wang, Romain Lopez, Jan-Christian Huetter, Takamasa Kudo, Heming Yao, Philipp Hanslovsky, Burkhard Hoeckendorf, Rahul Ram Mohan, David Richmond, Aviv Regev

CLeaR 2024 Toward the Identifiability of Comparative Deep Generative Models Romain Lopez, Jan-Christian Huetter, Ehsan Hajiramezanali, Jonathan K Pritchard, Aviv Regev

CVPRW 2024 Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond

AISTATS 2023 NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning Muralikrishnna G Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Huetter

NeurIPSW 2022 Biological Cartography: Building and Benchmarking Representations of Life Safiye Celik, Jan-Christian Huetter, Sandra Melo, Nathan Lazar, Rahul Mohan, Conor Tillinghast, Tommaso Biancalani, Marta Fay, Berton Earnshaw, Imran S Haque

NeurIPS 2022 Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez, Jan-Christian Huetter, Jonathan Pritchard, Aviv Regev

UAI 2020 Estimation Rates for Sparse Linear Cyclic Causal Models Jan-Christian Huetter, Philippe Rigollet