NeurIPS 2021 Workshop DLDE Submissions

Adversarial Sampling for Solving Differential Equations with Neural Networks
Kshitij Parwani, Pavlos Protopapas
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
NeurInt: Learning to Interpolate through Neural ODEs
Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Spotlight
- Readers: Everyone
Stability analysis of Strange Attractors using Attractor Networks
Anonymous
- 27 Sept 2021 (modified: 05 May 2023)
- NeurIPS 2021 Workshop DLDE Blind Submission
- Readers: Everyone
Investigating the Role of Overparameterization While Solving the Pendulum with DeepONets
Pulkit Gopalani, Anirbit Mukherjee
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
A neural multilevel method for high-dimensional parametric PDEs
Cosmas Heiß, Ingo Gühring, Martin Eigel
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Uncertainty Quantification in Neural Differential Equations
Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Spectral PINNs: Fast Uncertainty Propagation with Physics-Informed Neural Networks
Björn Lütjens, Catherine H Crawford, Mark Veillette, Dava Newman
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Neural Solvers for Fast and Accurate Numerical Optimal Control
Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park
- Published: 17 Oct 2021, Last Modified: 22 Oct 2023
- DLDE Workshop -- NeurIPS 2021 Spotlight
- Readers: Everyone
Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations
Erfan Pirmorad, Faraz Khoshbakhtian, Farnam Mansouri, Amir-massoud Farahmand
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Spotlight
- Readers: Everyone
Shape-Tailored Deep Neural Networks With PDEs
Naeemullah Khan, Angira Sharma, Philip Torr, Ganesh Sundaramoorthi
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Learning Implicit PDE Integration with Linear Implicit Layers
Marcel Nonnenmacher, David S. Greenberg
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Spotlight
- Readers: Everyone
Accelerated PDEs for Construction and Theoretical Analysis of an SGD Extension
Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi, Anthony Yezzi
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Data-driven Taylor-Galerkin finite-element scheme for convection problems
Luciano Drozda, Pavanakumar Mohanamuraly, Yuval Realpe, Corentin Lapeyre, Amir Adler, Guillaume Daviller, Thierry Poinsot
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Expressive Power of Randomized Signature
Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Fitting Regularized Population Dynamics with Neural Differential Equations
David Calhas, Rui Henriques
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Sparse Gaussian Processes for Stochastic Differential Equations
Prakhar Verma, Vincent ADAM, Arno Solin
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based ROMs
Stefania Fresca, Federico Fatone, Andrea Manzoni
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Multigrid-augmented deep learning preconditioners for the Helmholtz equation
Yael Azulay, Eran Treister
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Non Vanishing Gradients for Arbitrarily Deep Neural Networks: a Hamiltonian System Approach
Clara Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint
Pawan Goyal, Peter Benner
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
On Second Order Behaviour in Augmented Neural ODEs: A Short Summary
Alexander Luke Ian Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lio
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks
Filipe de Avila Belbute-Peres, Yi-fan Chen, Fei Sha
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
MGIC: Multigrid-in-Channels Neural Network Architectures
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Actor-Critic Algorithm for High-dimensional PDEs
Xiaohan Zhang
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone
Empirics on the expressiveness of Randomized Signature
Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto
- Published: 17 Oct 2021, Last Modified: 05 May 2023
- DLDE Workshop -- NeurIPS 2021 Poster
- Readers: Everyone