Jules Berman

CoRR, May, 2026

Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems.

[BibT_eX]

[DOI]

CoRR, May, 2026

2025

DICE: Discrete inverse continuity equation for learning population dynamics.

[BibT_eX]

[DOI]

Andrew Stuart

CoRR, July, 2025

Hankel Singular Value Regularization for Highly Compressible State Space Models.

[BibT_eX]

[DOI]

Paul Schwerdtner

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Nonlinear Embeddings for Conserving Hamiltonians and Other Quantities with Neural Galerkin Schemes.

[BibT_eX]

[DOI]

Paul Schwerdtner

Philipp Schulze

SIAM J. Sci. Comput., 2024

Neuronal Temporal Filters as Normal Mode Extractors.

[BibT_eX]

[DOI]

CoRR, 2024

Parametric model reduction of mean-field and stochastic systems via higher-order action matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Representational Dissimilarity Metric Spaces for Stochastic Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Bridging the Gap: Point Clouds for Merging Neurons in Connectomics.

[BibT_eX]

[DOI]