Large-Scale Differentiable Causal Discovery of Factor Graphs

Large-Scale Differentiable Causal Discovery of Factor Graphs

15 June 2022

Jan-Christian Hütter

Papers citing "Large-Scale Differentiable Causal Discovery of Factor Graphs"

10 / 10 papers shown

Title
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 66 0 0 02 May 2025
GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization Seungheun Baek Soyon Park Y. T. Chok Mogan Gim Jaewoo Kang DRL 40 0 0 31 Jan 2025
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 33 7 0 02 Feb 2024
CUTS+: High-dimensional Causal Discovery from Irregular Time-series Yuxiao Cheng Lianglong Li Tingxiong Xiao Zongren Li Qionghai Dai J. Suo K. He CML BDL AI4TS 10 21 0 10 May 2023
Deep Learning of Causal Structures in High Dimensions Kai Lagemann C. Lagemann B. Taschler S. Mukherjee CML BDL AI4CE 9 29 0 09 Dec 2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling Romain Lopez Natavsa Tagasovska Stephen Ra K. Cho J. Pritchard Aviv Regev OOD CML DRL 10 35 0 07 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 18 11 0 07 Nov 2022
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data Mathieu Chevalley Yusuf Roohani Arash Mehrjou J. Leskovec Patrick Schwab CML 10 35 0 31 Oct 2022
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 72 116 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 254 0 29 Sep 2019