Jan-Christian Hütter

Orcid: 0000-0002-1219-4821

According to our database1, Jan-Christian Hütter authored at least 16 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2025
Supervised Contrastive Block Disentanglement.
CoRR, February, 2025

2024
Building, benchmarking, and exploring perturbative maps of transcriptional and morphological data.
PLoS Comput. Biol., 2024

Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction.
CoRR, 2024

Sequential Optimal Experimental Design of Perturbation Screens Guided by Multi-modal Priors.
Proceedings of the Research in Computational Molecular Biology, 2024

Learning Identifiable Factorized Causal Representations of Cellular Responses.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Toward the Identifiability of Comparative Deep Generative Models.
Proceedings of the Causal Learning and Reasoning, 2024

2023
A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data.
Proceedings of the Machine Learning in Computational Biology, November 30, 2023

NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Large-Scale Differentiable Causal Discovery of Factor Graphs.
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.
Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

2020
Estimation Rates for Sparse Linear Cyclic Causal Models.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019
Estimation of Monge Matrices.
CoRR, 2019

Statistical Optimal Transport via Factored Couplings.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Statistical Optimal Transport via Geodesic Hubs.
CoRR, 2018

2014
Asymptotic Behavior of Gradient Flows Driven by Nonlocal Power Repulsion and Attraction Potentials in One Dimension.
SIAM J. Math. Anal., 2014


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