Causal Discovery from Conditionally Stationary Time Series

12 October 2021

Carles Balsells-Rodas

Papers citing "Causal Discovery from Conditionally Stationary Time Series"

40 / 40 papers shown

Title
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series Zachary C. Brown David Carlson CML AI4CE 23 0 0 27 May 2025
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data Omar Faruque Sahara Ali Xue Zheng Jianwu Wang AI4TS BDL CML 94 1 0 01 Apr 2024
Case Studies of Causal Discovery from IT Monitoring Time Series Ali Aït-Bachir Charles K. Assaad Christophe de Bignicourt Emilie Devijver Simon Ferreira Éric Gaussier Hosein Mohanna Lei Zan CML AI4TS 60 8 0 28 Jul 2023
Inferring dynamic regulatory interaction graphs from time series data with perturbations Dhananjay Bhaskar Sumner Magruder E. Brouwer Aarthi Venkat Frederik Wenkel Guy Wolf Smita Krishnaswamy 44 5 0 13 Jun 2023
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour Rhys Howard Lars Kunze CML 60 7 0 31 Jan 2023
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network Yang Sun Yifan Xie BDL CML 95 1 0 28 Jan 2023
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise Wenbo Gong Joel Jennings Chen Zhang Nick Pawlowski AI4TS CML 40 26 0 26 Oct 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 79 27 0 04 Oct 2022
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 296 3,582 0 20 Dec 2021
Deep Explicit Duration Switching Models for Time Series Abdul Fatir Ansari Konstantinos Benidis Richard Kurle Ali Caner Turkmen Harold Soh Alex Smola Yuyang Wang Tim Januschowski BDL 69 20 0 26 Oct 2021
Learning Temporally Causal Latent Processes from General Temporal Data Weiran Yao Yuewen Sun Alex Ho Changyin Sun Kun Zhang BDL CML 59 87 0 11 Oct 2021
Neural Relational Inference with Efficient Message Passing Mechanisms Siyuan Chen Jiahai Wang Guoqing Li 77 20 0 23 Jan 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 82 126 0 15 Jan 2021
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar Dieter Fox Animesh Garg CML 98 104 0 01 Jul 2020
Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series Hermanni Hälvä Aapo Hyvarinen OOD BDL CML 41 79 0 22 Jun 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Sindy Löwe David Madras R. Zemel Max Welling CML BDL AI4TS 93 131 0 18 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 697 41,736 0 28 May 2020
DYNOTEARS: Structure Learning from Time-Series Data Roxana Pamfil Nisara Sriwattanaworachai Shaan Desai Philip Pilgerstorfer Paul Beaumont K. Georgatzis Bryon Aragam CML AI4TS BDL 64 191 0 02 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 391 42,299 0 03 Dec 2019
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning Rohit Girdhar Deva Ramanan 52 177 0 10 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning Kexin Yi Yuta Saito Yunzhu Li Pushmeet Kohli Jiajun Wu Antonio Torralba J. Tenenbaum NAI 104 473 0 03 Oct 2019
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models Erdun Gao Kun Zhang Biwei Huang Clark Glymour CML AI4TS 53 64 0 26 May 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 69 485 0 22 Apr 2019
Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA R. Monti Kun Zhang Aapo Hyvarinen CML 62 92 0 19 Apr 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes Erdun Gao Kun Zhang Jiji Zhang Joseph Ramsey Ruben Sanchez-Romero Clark Glymour Bernhard Schölkopf 52 224 0 05 Mar 2019
Causal Discovery in the Presence of Missing Data Ruibo Tu Cheng Zhang P. Ackermann Bo Christer Bertilson Clark Glymour Hedvig Kjellström Kun Zhang CML 52 65 0 11 Jul 2018
Multiple Causal Inference with Latent Confounding Rajesh Ranganath A. Perotte CML 33 50 0 21 May 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 82 937 0 04 Mar 2018
Causal Discovery in the Presence of Measurement Error: Identifiability Conditions Kun Zhang Biwei Huang Joseph Ramsey Kayhan Batmanghelich Peter Spirtes Clark Glymour CML 52 30 0 10 Jun 2017
A Structured Self-attentive Sentence Embedding Zhouhan Lin Minwei Feng Cicero Nogueira dos Santos Mo Yu Bing Xiang Bowen Zhou Yoshua Bengio 113 2,136 0 09 Mar 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 293 5,360 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 167 2,529 0 02 Nov 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA Aapo Hyvarinen H. Morioka CML OOD AI4TS 61 409 0 20 May 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 287 5,518 0 23 Nov 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 82 1,256 0 07 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 426 16,944 0 20 Dec 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 100 569 0 26 Sep 2013
On the Identifiability of the Post-Nonlinear Causal Model Kun Zhang Aapo Hyvarinen CML 186 564 0 09 May 2012
Identifiability of Causal Graphs using Functional Models J. Peters Joris Mooij Dominik Janzing Bernhard Schölkopf 86 155 0 14 Feb 2012