Lopez, Romain

20 publications

AISTATS 2025 Cross-Modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport Jayoung Ryu, Charlotte Bunne, Luca Pinello, Aviv Regev, Romain Lopez

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

ICMLW 2024 Cross-Modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport Jayoung Ryu, Romain Lopez, Charlotte Bunne, Luca Pinello, Aviv Regev

ICMLW 2024 Cross-Modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport Jayoung Ryu, Romain Lopez, Charlotte Bunne, Luca Pinello, Aviv Regev

NeurIPS 2024 GFlowNet Assisted Biological Sequence Editing Pouya M. Ghari, Alex M. Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, Ehsan Hajiramezanali

CVPRW 2024 Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening Mahtab Bigverdi, Burkhard Höckendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond

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

NeurIPSW 2023 Generative Flow Networks Assisted Biological Sequence Editing Pouya M. Ghari, Alex Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, Ehsan Hajiramezanali

CLeaR 2023 Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling Romain Lopez, Natasa Tagasovska, Stephen Ra, Kyunghyun Cho, Jonathan Pritchard, Aviv Regev

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

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

NeurIPSW 2022 Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling Romain Lopez, Natasa Tagasovska, Stephen Ra, Kyunghyun Cho, Jonathan Pritchard, Aviv Regev

AAAI 2021 Learning from eXtreme Bandit Feedback Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan

AAAI 2020 Cost-Effective Incentive Allocation via Structured Counterfactual Inference Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song

NeurIPS 2020 Decision-Making with Auto-Encoding Variational Bayes Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier

NeurIPS 2018 Information Constraints on Auto-Encoding Variational Bayes Romain Lopez, Jeffrey Regier, Michael I Jordan, Nir Yosef