Workshop
A causal view on dynamical systems
Sören Becker · Alexis Bellot · Cecilia Casolo · Niki Kilbertus · Sara Magliacane · Yuyang (Bernie) Wang
Room 387
Sat 3 Dec, 7 a.m. PST
Chat is not available.
Timezone: America/Los_Angeles
Schedule
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Sat 7:00 a.m. - 7:05 a.m.
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Opening words
(
Introduction
)
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SlidesLive Video |
🔗 |
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Sat 7:05 a.m. - 7:30 a.m.
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Towards Markov Properties for Continuous-Time Dynamical Systems - Joris Mooij
(
Keynote Talk
)
>
SlidesLive Video |
Joris Mooij 🔗 |
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Sat 7:30 a.m. - 7:34 a.m.
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Q&A
(
Q&A
)
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Sat 7:34 a.m. - 7:35 a.m.
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Speaker Introduction
(
Speaker Introduction
)
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Sat 7:35 a.m. - 8:00 a.m.
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Causal and graphical models for continuous-time event data
(
Keynote Talk
)
>
SlidesLive Video |
Vanessa Didelez 🔗 |
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Sat 8:00 a.m. - 8:05 a.m.
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Q&A Causal and graphical models for continuous-time event data
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Q&A
)
>
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Sat 8:05 a.m. - 8:29 a.m.
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Coffee Break
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Sat 8:29 a.m. - 8:30 a.m.
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Speaker Introduction
(
Speaker Introduction
)
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Sat 8:30 a.m. - 8:55 a.m.
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Dynamic Causal Modelling
(
Keynote Speaker Talk
)
>
SlidesLive Video |
Karl Friston 🔗 |
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Sat 8:55 a.m. - 9:00 a.m.
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Q&A Dynamic Causal Modelling
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Q&A
)
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Sat 9:00 a.m. - 9:25 a.m.
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Causal feature selection in time series data
(
Keynote Talk
)
>
SlidesLive Video |
Atalanti Mastakouri 🔗 |
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Sat 9:25 a.m. - 9:30 a.m.
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Q&A Causal feature selection in time series data
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Q&A
)
>
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Sat 9:30 a.m. - 10:30 a.m.
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Poster Session
(
Poster Session
)
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Sat 10:30 a.m. - 11:59 a.m.
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Lunch Break
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Sat 11:59 a.m. - 12:00 p.m.
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Speaker Introduction
(
Speaker Introduction
)
>
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Sat 12:00 p.m. - 12:25 p.m.
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Signature kernel methods
(
Keynote Talk
)
>
SlidesLive Video |
Cristopher Salvi 🔗 |
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Sat 12:25 p.m. - 12:30 p.m.
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Q&A Signature kernel methods
(
Q&A
)
>
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Sat 12:30 p.m. - 12:55 p.m.
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Causal Discovery from Nonstationary Time Series - Biwei Huang
(
Keynote Talk
)
>
SlidesLive Video |
Biwei Huang 🔗 |
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Sat 12:55 p.m. - 1:00 p.m.
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Q&A
(
Q&A
)
>
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🔗 |
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Sat 1:00 p.m. - 1:30 p.m.
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Coffee Break
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Sat 1:30 p.m. - 1:42 p.m.
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Causal Inference out of Control: Identifying the Steerability of Consumption
(
Oral
)
>
link
SlidesLive Video |
Gary Cheng · Moritz Hardt · Celestine Mendler-Dünner 🔗 |
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Sat 1:42 p.m. - 1:54 p.m.
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A Balanced Design of Time Series Experiments
(
Oral
)
>
link
SlidesLive Video |
Tu Ni · Iavor Bojinov · Jinglong Zhao 🔗 |
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Sat 1:54 p.m. - 2:06 p.m.
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GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
(
Oral
)
>
link
SlidesLive Video |
Mohammadsajad Abavisani · David Danks · Vince Calhoun · Sergey Plis 🔗 |
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Sat 2:06 p.m. - 2:20 p.m.
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Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
(
Poster
)
>
link
SlidesLive Video |
Seungwoong Ha · Hawoong Jeong 🔗 |
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Sat 2:20 p.m. - 2:50 p.m.
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Poster Session
(
Poster Session
)
>
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Sat 2:50 p.m. - 3:00 p.m.
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Closing Words
(
Closing Words
)
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Latent GP-ODEs with Informative Priors ( Poster ) > link | Ilze Amanda Auzina · Çağatay Yıldız · Efstratios Gavves 🔗 |
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Estimating the mechanisms underlying transient dynamics based on peri-event data ( Poster ) > link | Kaidi Shao · Nikos K Logothetis · Michel Besserve 🔗 |
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Reducing Causal Illusions through Deliberate Undersampling ( Poster ) > link | Kseniya Solovyeva · David Danks · Mohammadsajad Abavisani · Sergey Plis 🔗 |
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Causal Inference out of Control: Identifying the Steerability of Consumption ( Poster ) > link | Gary Cheng · Moritz Hardt · Celestine Mendler-Dünner 🔗 |
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Bayesian Dynamic Causal Discovery ( Poster ) > link | Alexander Tong · Lazar Atanackovic · Jason Hartford · Yoshua Bengio 🔗 |
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Spatiotemporal Information Flows ( Poster ) > link | Felix Zhou · Roshan Ravishankar 🔗 |
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GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
(
Poster
)
>
link
SlidesLive Video |
Mohammadsajad Abavisani · David Danks · Vince Calhoun · Sergey Plis 🔗 |
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Causal Bandits: Online Decision-Making in Endogenous Settings ( Poster ) > link | Jingwen Zhang · Yifang Chen · Amandeep Singh 🔗 |
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Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting ( Poster ) > link | Tian Guo 🔗 |
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Towards Reverse Causal Inference on Panel Data: Precise Formulation and Challenges ( Poster ) > link | Jiayao Zhang · Youngsuk Park · Danielle Maddix · Dan Roth · Yuyang (Bernie) Wang 🔗 |
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Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems ( Poster ) > link | Steffen Ridderbusch · Sina Ober-Blöbaum · Paul Goulart 🔗 |
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A Balanced Design of Time Series Experiments ( Poster ) > link | Tu Ni · Iavor Bojinov · Jinglong Zhao 🔗 |
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Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions ( Poster ) > link | Violeta-Teodora Trifunov · Maha Shadaydeh · Joachim Denzler 🔗 |
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On the Complexity of Counterfactual Reasoning ( Poster ) > link | Yunqiu Han · Yizuo Chen · Adnan Darwiche 🔗 |
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Causal Discovery in Time Series Data Using Causally Invariant Locally Linear Models ( Poster ) > link | Alexander Mey 🔗 |
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Petri Nets Enable Causal Reasoning in Dynamical Systems ( Poster ) > link | Ritwik Anand · Jeremy Zucker · Vartika Tewari · Karen Sachs · Olga Vitek 🔗 |
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Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks ( Poster ) > link | Zhe Li · Andreas Tolias · Xaq Pitkow 🔗 |
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Quantifying Causal Contribution in Rare Event Data ( Poster ) > link | Caner Turkmen · Dominik Janzing · Oleksandr Shchur · Lenon Minorics · Laurent Callot 🔗 |
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Online Learning of Optimal Control Signals in Stochastic Linear Dynamical Systems ( Poster ) > link | Mohamad Kazem Shirani Faradonbeh 🔗 |
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Evaluating vaccine allocation strategies using simulation-assisted causal modelling ( Poster ) > link | Armin Kekić · Jonas Dehning · Luigi Gresele · Julius von Kügelgen · Viola Priesemann · Bernhard Schölkopf 🔗 |
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Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network ( Oral ) > link | Seungwoong Ha · Hawoong Jeong 🔗 |
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Provably Efficient Causal Model-Based Reinforcement Learning for Environment-Agnostic Generalization ( Poster ) > link | Mirco Mutti · Riccardo De Santi · Emanuele Rossi · Juan Calderon · Michael Bronstein · Marcello Restelli 🔗 |