Romain Lopez

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 23

Top Topics

Conditional Independence Tests

Structure Learning Algorithm

Gene Expression

Generative Model

Top Venues

Publications

Mahtab Bigverdi, Burkhard Hockendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond
Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening. CoRR (2024)
Romain Lopez, Jan-Christian Hütter, Ehsan Hajiramezanali, Jonathan K. Pritchard, Aviv Regev
Toward the Identifiability of Comparative Deep Generative Models. CoRR (2024)
Kexin Huang, Romain Lopez, Jan-Christian Hütter, Takamasa Kudo, Antonio Rios, Aviv Regev
Sequential Optimal Experimental Design of Perturbation Screens Guided by Multi-modal Priors. RECOMB (2024)
Romain Lopez, Jan-Christian Hütter, Ehsan Hajiramezanali, Jonathan K. Pritchard, Aviv Regev
Toward the Identifiability of Comparative Deep Generative Models. CLeaR (2024)
Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. CoRR (2023)
Xinming Tu, Jan-Christian Hütter, Zitong Jerry Wang, Takamasa Kudo, Aviv Regev, Romain Lopez
A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data. MLCB (2023)
Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. AISTATS (2023)
Romain Lopez, Natasa Tagasovska, Stephen Ra, Kyunghyun Cho, Jonathan K. Pritchard, Aviv Regev
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling. CLeaR (2023)
Romain Lopez, Jan-Christian Hütter, Jonathan K. Pritchard, Aviv Regev
Large-Scale Differentiable Causal Discovery of Factor Graphs. CoRR (2022)
Romain Lopez, Jan-Christian Hütter, Jonathan K. Pritchard, Aviv Regev
Large-Scale Differentiable Causal Discovery of Factor Graphs. NeurIPS (2022)
Ethan Weinberger, Romain Lopez, Jan-Christian Hütter, Aviv Regev
Disentangling shared and group-specific variations in single-cell transcriptomics data with multiGroupVI. MLCB (2022)
Romain Lopez, Natasa Tagasovska, Stephen Ra, Kyunghyun Cho, Jonathan K. Pritchard, Aviv Regev
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling. CoRR (2022)
Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan
Learning from eXtreme Bandit Feedback. AAAI (2021)
Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier
Decision-Making with Auto-Encoding Variational Bayes. NeurIPS (2020)
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. AAAI (2020)
Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan
Learning from eXtreme Bandit Feedback. CoRR (2020)
Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier
Decision-Making with Auto-Encoding Variational Bayes. CoRR (2020)
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. CoRR (2019)
Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. CoRR (2019)
Romain Lopez, Jeffrey Regier, Nir Yosef, Michael I. Jordan
Information Constraints on Auto-Encoding Variational Bayes. CoRR (2018)
Maxime Langevin, Edouard Mehlman, Jeffrey Regier, Romain Lopez, Michael I. Jordan, Nir Yosef
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels. CoRR (2018)
Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef
Information Constraints on Auto-Encoding Variational Bayes. NeurIPS (2018)
Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef
A deep generative model for gene expression profiles from single-cell RNA sequencing. CoRR (2017)
Romain Lopez, Christophe Poirel
Raycast based auto-rigging method for humanoid meshes. SIGGRAPH Posters (2013)