Accepted Papers

• Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
  Seungwoong Ha, Hawoong Jeong

• A Balanced Design of Time Series Experiments
  Tu Ni, Iavor Bojinov, Jinglong Zhao

• GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
  Mohammadsajad Abavisani, David Danks, Vince Calhoun, Sergey Plis

• Causal Inference out of Control: Identifying the Steerability of Consumption
  Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner

• Evaluating vaccine allocation strategies using simulation-assisted causal modelling
  Armin Kekić, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf

• Online Learning of Optimal Control Signals in Stochastic Linear Dynamical Systems
  Mohamad Kazem Shirani Faradonbeh

• Quantifying Causal Contribution in Rare Event Data
  Ali Caner Turkmen, Dominik Janzing, Oleksandr Shchur, Lenon Minorics, Laurent Callot

• Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems

Steffen Ridderbusch, Sina Ober-Blöbaum, Paul James Goulart

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

Jiayao Zhang, Youngsuk Park, Danielle C. Maddix, Dan Roth, Bernie Wang

• Causal Discovery in Time Series Data Using Causally Invariant Locally Linear Models
  Alexander Mey

• Petri Nets Enable Causal Reasoning in Dynamical Systems
  Ritwik Anand, Jeremy D Zucker, Vartika Tewari, Karen Sachs, Olga Vitek

• On the Complexity of Counterfactual Reasoning
  Yunqiu Han, Yizuo Chen, Adnan Darwiche

• Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions
  Violeta-Teodora Trifunov, Maha Shadaydeh, Joachim Denzler

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

Tian Guo

• Causal Bandits: Online Decision-Making in Endogenous Settings

Jingwen Zhang, Yifang Chen, Amandeep Singh

• Spatiotemporal Information Flows

Felix Yuran Zhou, Roshan Ravishankar

• Provably Efficient Causal Model-Based Reinforcement Learning for Environment-Agnostic Generalization
  Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderon, Michael M. Bronstein, Marcello Restelli

• Bayesian Dynamic Causal Discovery

Alexander Tong, Lazar Atanackovic, Jason Hartford, Yoshua Bengio

• Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks
  Zhe Li, Andreas S. Tolias, Xaq Pitkow

• Reducing Causal Illusions through Deliberate Undersampling

Kseniya Solovyeva, David Danks, Mohammadsajad Abavisani, Sergey Plis

• Latent GP-ODEs with Informative Priors

Ilze Amanda Auzina, Cagatay Yildiz, Efstratios Gavves

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

Kaidi Shao, Nikos K. Logothetis, Michel Besserve