Symbolic Neural Ordinary Differential EquationsAAAI Conference on Artificial Intelligence (AAAI), 2025 |
 Learning to Decouple Complex SystemsInternational Conference on Machine Learning (ICML), 2023 |
 Switched Flow Matching: Eliminating Singularities via Switching ODEsInternational Conference on Machine Learning (ICML), 2024 |
 From Fourier to Neural ODEs: Flow Matching for Modeling Complex SystemsInternational Conference on Machine Learning (ICML), 2024 |
 DRew: Dynamically Rewired Message Passing with DelayInternational Conference on Machine Learning (ICML), 2023 |
 Gated Recurrent Neural Networks with Weighted Time-Delay FeedbackInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical SystemsInternational Conference on Machine Learning (ICML), 2022 |
 Learning Time Delay Systems with Neural Ordinary Differential EquationsIFAC-PapersOnLine (IFAC-PapersOnLine), 2022 |
 Neural Laplace: Learning diverse classes of differential equations in
the Laplace domainInternational Conference on Machine Learning (ICML), 2022 |
 Neural Piecewise-Constant Delay Differential EquationsAAAI Conference on Artificial Intelligence (AAAI), 2022 |
 Characteristic Neural Ordinary Differential EquationsInternational Conference on Learning Representations (ICLR), 2021 |
 Stateful ODE-Nets using Basis Function ExpansionsNeural Information Processing Systems (NeurIPS), 2021 |
 Delay Differential Neural NetworksInternational Conference on Machine Learning Technologies (ICMLT), 2020 |
