Jan-Christian Hütter

According to our database, Jan-Christian Hütter authored at least 11 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sequential Optimal Experimental Design of Perturbation Screens Guided by Multi-modal Priors.

Kexin Huang, Romain Lopez, Jan-Christian Hütter, Takamasa Kudo, Antonio Rios, Aviv Regev

Proceedings of the Research in Computational Molecular Biology, 2024

Toward the Identifiability of Comparative Deep Generative Models.

Romain Lopez, Jan-Christian Hütter, Ehsan Hajiramezanali, Jonathan K. Pritchard, Aviv Regev

Proceedings of the Causal Learning and Reasoning, 2024

2023

A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data.

Xinming Tu, Jan-Christian Hütter, Zitong Jerry Wang, Takamasa Kudo, Aviv Regev, Romain Lopez

Proceedings of the Machine Learning in Computational Biology, November 30, 2023

NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning.

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Large-Scale Differentiable Causal Discovery of Factor Graphs.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Disentangling shared and group-specific variations in single-cell transcriptomics data with multiGroupVI.

Ethan Weinberger, Romain Lopez, Jan-Christian Hütter, Aviv Regev

Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

2020

Estimation Rates for Sparse Linear Cyclic Causal Models.

Jan-Christian Hütter, Philippe Rigollet

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Estimation of Monge Matrices.

Jan-Christian Hütter, Cheng Mao, Philippe Rigollet, Elina Robeva

CoRR, 2019

Statistical Optimal Transport via Factored Couplings.

Aden Forrow, Jan-Christian Hütter, Mor Nitzan, Philippe Rigollet, Geoffrey Schiebinger, Jonathan Weed

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Statistical Optimal Transport via Geodesic Hubs.

Aden Forrow, Jan-Christian Hütter, Mor Nitzan, Geoffrey Schiebinger, Philippe Rigollet, Jonathan Weed

CoRR, 2018

2014

Asymptotic Behavior of Gradient Flows Driven by Nonlocal Power Repulsion and Attraction Potentials in One Dimension.

Marco Di Francesco, Massimo Fornasier, Jan-Christian Hütter, Daniel Matthes

SIAM J. Math. Anal., 2014