Workshop

A causal view on dynamical systems

Sören Becker · Alexis Bellot · Cecilia Casolo · Niki Kilbertus · Sara Magliacane · Yuyang (Bernie) Wang

Project Page [ Contact: causaldyn.neurips22@gmail.com ]

Video

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Schedule

Timezone: America/Los_Angeles

7:00 AM

Opening words Introduction

Video

7:05 AM

Towards Markov Properties for Continuous-Time Dynamical Systems - Joris Mooij Keynote Talk

Joris Mooij

Video

7:30 AM

Q&A Q&A

7:34 AM

Speaker Introduction Speaker Introduction

7:35 AM

Causal and graphical models for continuous-time event data Keynote Talk

Vanessa Didelez

Video

8:00 AM

Q&A Causal and graphical models for continuous-time event data Q&A

8:05 AM

Coffee Break

8:29 AM

Speaker Introduction Speaker Introduction

8:30 AM

Dynamic Causal Modelling Keynote Speaker Talk

Karl Friston

Video

8:55 AM

Q&A Dynamic Causal Modelling Q&A

9:00 AM

Causal feature selection in time series data Keynote Talk

Atalanti Mastakouri

Video

9:25 AM

Q&A Causal feature selection in time series data Q&A

9:30 AM

Poster Session Poster Session

10:30 AM

Lunch Break

11:59 AM

Speaker Introduction Speaker Introduction

12:00 PM

Signature kernel methods Keynote Talk

Cristopher Salvi

Video

12:25 PM

Q&A Signature kernel methods Q&A

12:30 PM

Causal Discovery from Nonstationary Time Series - Biwei Huang Keynote Talk

Biwei Huang

Video

12:55 PM

Q&A Q&A

1:00 PM

Coffee Break

1:30 PM

Causal Inference out of Control: Identifying the Steerability of Consumption Oral

Gary Cheng · Moritz Hardt · Celestine Mendler-Dünner

Video

Link

1:42 PM

A Balanced Design of Time Series Experiments Oral

Tu Ni · Iavor Bojinov · Jinglong Zhao

Video

Link

1:54 PM

GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints Oral

Mohammadsajad Abavisani · David Danks · Vince Calhoun · Sergey Plis

Video

Link

2:06 PM

Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network Poster

Seungwoong Ha · Hawoong Jeong

Video

Link

2:20 PM

Poster Session Poster Session

2:50 PM

Closing Words Closing Words

Latent GP-ODEs with Informative Priors Poster

Ilze Amanda Auzina · Çağatay Yıldız · Efstratios Gavves

Link

Estimating the mechanisms underlying transient dynamics based on peri-event data Poster

Kaidi Shao · Nikos K Logothetis · Michel Besserve

Link

Reducing Causal Illusions through Deliberate Undersampling Poster

Kseniya Solovyeva · David Danks · Mohammadsajad Abavisani · Sergey Plis

Link

Causal Inference out of Control: Identifying the Steerability of Consumption Poster

Gary Cheng · Moritz Hardt · Celestine Mendler-Dünner

Link

Bayesian Dynamic Causal Discovery Poster

Alexander Tong · Lazar Atanackovic · Jason Hartford · Yoshua Bengio

Link

Spatiotemporal Information Flows Poster

Felix Zhou · Roshan Ravishankar

Link

GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints Poster

Mohammadsajad Abavisani · David Danks · Vince Calhoun · Sergey Plis

Video

Link

Causal Bandits: Online Decision-Making in Endogenous Settings Poster

Jingwen Zhang · Yifang Chen · Amandeep Singh

Link

Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting Poster

Tian Guo

Link

Towards Reverse Causal Inference on Panel Data: Precise Formulation and Challenges Poster

Jiayao Zhang · Youngsuk Park · Danielle Maddix · Dan Roth · Yuyang (Bernie) Wang

Link

Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems Poster

Steffen Ridderbusch · Sina Ober-Blöbaum · Paul Goulart

Link

A Balanced Design of Time Series Experiments Poster

Tu Ni · Iavor Bojinov · Jinglong Zhao

Link

Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions Poster

Violeta-Teodora Trifunov · Maha Shadaydeh · Joachim Denzler

Link

On the Complexity of Counterfactual Reasoning Poster

Yunqiu Han · Yizuo Chen · Adnan Darwiche

Link

Causal Discovery in Time Series Data Using Causally Invariant Locally Linear Models Poster

Alexander Mey

Link

Petri Nets Enable Causal Reasoning in Dynamical Systems Poster

Ritwik Anand · Jeremy Zucker · Vartika Tewari · Karen Sachs · Olga Vitek

Link

Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks Poster

Zhe Li · Andreas Tolias · Xaq Pitkow

Link

Quantifying Causal Contribution in Rare Event Data Poster

Caner Turkmen · Dominik Janzing · Oleksandr Shchur · Lenon Minorics · Laurent Callot

Link

Online Learning of Optimal Control Signals in Stochastic Linear Dynamical Systems Poster

Mohamad Kazem Shirani Faradonbeh

Link

Evaluating vaccine allocation strategies using simulation-assisted causal modelling Poster

Armin Kekić · Jonas Dehning · Luigi Gresele · Julius von Kügelgen · Viola Priesemann · Bernhard Schölkopf

Link

Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network Oral

Seungwoong Ha · Hawoong Jeong

Link

Provably Efficient Causal Model-Based Reinforcement Learning for Environment-Agnostic Generalization Poster

Mirco Mutti · Riccardo De Santi · Emanuele Rossi · Juan Calderon · Michael Bronstein · Marcello Restelli

Link