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Workshop
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A method for identifying causality in the response of nonlinear dynamical systems
Joseph Massingham · Ole Nielsen · Tore Butlin
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Workshop
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Learning Physics From Video: Unsupervised Physical Parameter Estimation for Dynamical Systems
Alejandro Garcia · Jan van Gemert · Daan Brinks · Nergis Tomen
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Workshop
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Dissipativity-Informed Learning for Chaotic Dynamical Systems with Attractor Characterization
Sunbochen Tang · Themis Sapsis · Navid Azizan
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Poster
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Wed 16:30
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Structural Inference of Dynamical Systems with Conjoined State Space Models
Aoran Wang · Jun Pang
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Poster
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Fri 11:00
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Sparse maximal update parameterization: A holistic approach to sparse training dynamics
Nolan Dey · Shane Bergsma · Joel Hestness
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Poster
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Wed 16:30
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ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
Wenjie Mei · Dongzhe Zheng · Shihua Li
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Poster
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Wed 16:30
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Marrying Causal Representation Learning with Dynamical Systems for Science
Dingling Yao · Caroline Muller · Francesco Locatello
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Poster
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Thu 16:30
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Recurrent neural network dynamical systems for biological vision
Wayne Soo · Aldo Battista · Puria Radmard · Xiao-Jing Wang
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Poster
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Fri 11:00
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When are dynamical systems learned from time series data statistically accurate?
Jeongjin Park · Nicole Yang · Nisha Chandramoorthy
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Workshop
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Comparing Representations in Static and Dynamic Vision Models to the Human Brain
Hamed Karimi · Stefano Anzellotti
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Poster
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Fri 16:30
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Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems
Kurt Butler · Daniel Waxman · Petar Djuric
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Poster
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Fri 16:30
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Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
Aditi Jha · Diksha Gupta · Carlos Brody · Jonathan Pillow
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