Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

18 June 2020

Papers citing "Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data"

26 / 26 papers shown

Title
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox Mohamed Ghanem Masoud Moghani Pierre Barroso Benjamin Joffe Animesh Garg 50 0 0 06 Mar 2025
Causal Temporal Regime Structure Learning Abdellah Rahmani Pascal Frossard CML 75 2 0 20 Feb 2025
SSL Framework for Causal Inconsistency between Structures and Representations Hang Chen Xinyu Yang Keqing Du Wenya Wang 50 2 0 03 Jan 2025
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving Ehsan Ahmadi Ray Coden Mercurius Soheil Alizadeh K. Rezaee Amir Rasouli AAML 36 0 0 23 Sep 2024
Learning production functions for supply chains with graph neural networks Serina Chang Zhiyin Lin Benjamin Yan Swapnil Bembde Qi Xiu ... Yu Qin Frank Kloster Alex Luo Raj Palleti J. Leskovec GNN AI4TS 39 1 0 26 Jul 2024
Demystifying amortized causal discovery with transformers Francesco Montagna Max Cairney-Leeming Dhanya Sridhar Francesco Locatello CML 57 1 0 27 May 2024
Learning Independently from Causality in Multi-Agent Environments Rafael Pina V. D. Silva Corentin Artaud LRM 14 0 0 05 Nov 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 47 55 0 10 Oct 2023
Discovering Mixtures of Structural Causal Models from Time Series Data Sumanth Varambally Yi-An Ma Rose Yu 20 4 0 10 Oct 2023
Learning a Structural Causal Model for Intuition Reasoning in Conversation Hang Chen Bingyu Liao Jing Luo Wenjing Zhu Xinyu Yang LRM 30 12 0 28 May 2023
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 21 21 0 10 May 2023
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach Christo Kurisummoottil Thomas Walid Saad Yong Xiao 29 20 0 25 Apr 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 26 24 0 27 Mar 2023
Causality Detection for Efficient Multi-Agent Reinforcement Learning Rafael Pina V. D. Silva Corentin Artaud LRM 8 0 0 24 Mar 2023
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network Yang Sun Yifan Xie BDL CML 21 1 0 28 Jan 2023
Inversion of Bayesian Networks Jesse van Oostrum Peter van Hintum Nihat Ay BDL 10 1 0 20 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 26 11 0 07 Nov 2022
DIDER: Discovering Interpretable Dynamically Evolving Relations Enna Sachdeva Chiho Choi 21 2 0 22 Aug 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 15 60 0 25 May 2022
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 44 17 0 12 Nov 2021
Causal Discovery from Conditionally Stationary Time Series Carles Balsells-Rodas Ruibo Tu Hedvig Kjellström Yingzhen Li Gabriele Schweikert Hedvig Kjellstrom Yingzhen Li BDL CML AI4TS 34 5 0 12 Oct 2021
Relating Graph Neural Networks to Structural Causal Models Matej Zečević D. Dhami Petar Velickovic Kristian Kersting AI4CE CML 55 53 0 09 Sep 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 45 77 0 24 Apr 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 32 296 0 03 Mar 2021
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 106 258 0 29 Sep 2019
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016