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Romain Lopez

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Toward the Identifiability of Comparative Deep Generative Models

Jan 29, 2024
Romain Lopez, Jan-Christian Huetter, Ehsan Hajiramezanali, Jonathan Pritchard, Aviv Regev

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NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning

Jan 04, 2023
Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter

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Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling

Nov 09, 2022
Romain Lopez, Nataša Tagasovska, Stephen Ra, Kyunghyn Cho, Jonathan K. Pritchard, Aviv Regev

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Large-Scale Differentiable Causal Discovery of Factor Graphs

Jun 15, 2022
Romain Lopez, Jan-Christian Hütter, Jonathan K. Pritchard, Aviv Regev

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Learning from eXtreme Bandit Feedback

Sep 27, 2020
Romain Lopez, Inderjit Dhillon, Michael I. Jordan

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Decision-Making with Auto-Encoding Variational Bayes

Feb 17, 2020
Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier

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A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements

May 06, 2019
Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef

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Cost-Effective Incentive Allocation via Structured Counterfactual Inference

Feb 07, 2019
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song

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Information Constraints on Auto-Encoding Variational Bayes

Oct 15, 2018
Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef

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