Generative Causal Representation Learning for Out-of-Distribution Motion
Forecasting

Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting

17 February 2023

Shayan Shirahmad Gale Bagi

Papers citing "Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting"

15 / 15 papers shown

Title
SSL Framework for Causal Inconsistency between Structures and Representations Hang Chen Xinyu Yang Keqing Du Wenya Wang 81 2 0 03 Jan 2025
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 75 52 0 20 Jun 2022
Human Trajectory Prediction via Counterfactual Analysis Guangyi Chen Junlong Li Jiwen Lu Jie Zhou 62 69 0 29 Jul 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 109 322 0 22 Feb 2021
Learning causal representations for robust domain adaptation shuai Yang Kui Yu Fuyuan Cao Lin Liu Hongya Wang Jiuyong Li OOD CML TTA 46 44 0 12 Nov 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation Dong Zhang Hanwang Zhang Jinhui Tang Xiansheng Hua Qianru Sun CML ISeg 90 450 0 26 Sep 2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction Abduallah A. Mohamed Kun Qian Mohamed Elhoseiny Christian G. Claudel GNN 81 710 0 27 Feb 2020
Causality-based Feature Selection: Methods and Evaluations Kui Yu Xianjie Guo Lin Liu Jiuyong Li Hao Wang Zhaolong Ling Xindong Wu CML 49 95 0 17 Nov 2019
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 97 168 0 02 Oct 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks V. Kosaraju Amir Sadeghian Roberto Martín-Martín Ian Reid S. Hamid Rezatofighi Silvio Savarese 62 604 0 04 Jul 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 56 14 0 31 May 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 69 486 0 22 Apr 2019
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness Raphael Suter Ðorðe Miladinovic Bernhard Schölkopf Stefan Bauer CML OOD DRL 105 162 0 31 Oct 2018
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 86 995 0 14 Apr 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 263 78 0 26 May 2016