|
Poster
|
Thu 14:00
|
On the difficulty of learning chaotic dynamics with RNNs
Jonas Mikhaeil · Zahra Monfared · Daniel Durstewitz
|
|
|
Workshop
|
|
Petri Nets Enable Causal Reasoning in Dynamical Systems
Ritwik Anand · Jeremy Zucker · Vartika Tewari · Karen Sachs · Olga Vitek
|
|
|
Workshop
|
|
Optimization for Robustness Evaluation beyond ℓp Metrics
Hengyue Liang · Buyun Liang · Ying Cui · Tim Mitchell · Ju Sun
|
|
|
Poster
|
Tue 14:00
|
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
Ruikun Zhou · Thanin Quartz · Hans De Sterck · Jun Liu
|
|
|
Workshop
|
|
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang · Tim Mitchell · Ju Sun
|
|
|
Poster
|
Tue 14:00
|
Learning Deep Input-Output Stable Dynamics
Ryosuke Kojima · Yuji Okamoto
|
|
|
Poster
|
Tue 14:00
|
Learning dynamics of deep linear networks with multiple pathways
Jianghong Shi · Eric Shea-Brown · Michael Buice
|
|
|
Workshop
|
|
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
Som Dhulipala · Yifeng Che · Michael Shields
|
|
|
Workshop
|
|
Estimating the mechanisms underlying transient dynamics based on peri-event data
Kaidi Shao · Nikos K Logothetis · Michel Besserve
|
|
|
Workshop
|
|
Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs
Timothy Kim · Tankut Can · Kamesh Krishnamurthy
|
|
|
Poster
|
Tue 9:00
|
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
Vaggos Chatziafratis · Ioannis Panageas · Clayton Sanford · Stelios Stavroulakis
|
|
|
Workshop
|
|
Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems
Shuheng Liu · Xiyue Huang · Pavlos Protopapas
|
|
