NeurIPS 2023 Workshop DLDE Submissions

Does In-Context Operator Learning Generalize to Domain-Shifted Settings?
Jerry Weihong Liu, N. Benjamin Erichson, Kush Bhatia, Michael W. Mahoney, Christopher Re
- Published: 31 Oct 2023, Last Modified: 10 Nov 2023
- DLDE III Poster
- Readers: Everyone
On the Generalization of Deep Neural Networks for Optimal Sensor Placement in Global Ocean Forecasting
Alexander Lobashev, Nikita Turko, Konstantin Ushakov, Maxim Kaurkin, Rashit Ibrayev
- Published: 31 Oct 2023, Last Modified: 09 Nov 2023
- DLDE III Poster
- Readers: Everyone
$ODE$Solvers are also Wayfinders: Neural ODEs for Multi-Agent Pathplanning
Progyan Das, Dwip Dalal, Anirban Dasgupta
- Published: 31 Oct 2023, Last Modified: 11 Nov 2023
- DLDE III Poster
- Readers: Everyone
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang
- Published: 31 Oct 2023, Last Modified: 08 Nov 2023
- DLDE III Poster
- Readers: Everyone
TANGO: Time-reversal Latent GraphODE for Multi-Agent Dynamical Systems
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
- Published: 31 Oct 2023, Last Modified: 10 Nov 2023
- DLDE III BestPaperAwardSpotlightTalk
- Readers: Everyone
Advancing Graph Neural Networks Through Joint Time-Space Dynamics
Qiyu Kang, Yanan Zhao, Kai Zhao, Xuhao Li, Qinxu Ding, Wee Peng Tay, Sijie Wang
- Published: 31 Oct 2023, Last Modified: 31 Oct 2023
- DLDE III Poster
- Readers: Everyone
Evaluating Uncertainty Quantification approaches for Neural PDEs in scientific application
Vardhan Dongre, Gurpreet Singh Hora
- Published: 31 Oct 2023, Last Modified: 31 Oct 2023
- DLDE III Poster
- Readers: Everyone
Effective Latent Differential Equation Models via Attention and Multiple Shooting
Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Pablo Polosecki, Irina Rish, Silvina Ponce Dawson, Guillermo Cecchi, Guillaume Dumas
- Published: 31 Oct 2023, Last Modified: 31 Oct 2023
- DLDE III SpotlightTalk
- Readers: Everyone
Adaptive Resolution Residual Networks
Léa Demeule, Mahtab Sandhu, Glen Berseth
- Published: 31 Oct 2023, Last Modified: 10 Nov 2023
- DLDE III SpotlightTalk
- Readers: Everyone
Can Physics informed Neural Operators Self Improve?
Ritam Majumdar, Amey Varhade, Shirish Karande, Lovekesh Vig
- Published: 31 Oct 2023, Last Modified: 21 Nov 2023
- DLDE III SpotlightTalk
- Readers: Everyone
Neural oscillators for generalizing parametric PDEs
Taniya Kapoor, Abhishek Chandra, Daniel Tartakovsky, Hongrui Wang, Alfredo Núñez, Rolf Dollevoet
- Published: 31 Oct 2023, Last Modified: 06 Nov 2023
- DLDE III Poster
- Readers: Everyone
Two-Step Bayesian PINNs for Uncertainty Estimation
Pablo Flores, Olga Graf, Pavlos Protopapas, Karim Pichara
- Published: 31 Oct 2023, Last Modified: 09 Nov 2023
- DLDE III Poster
- Readers: Everyone
Orthogonal Polynomials Quadrature Algorithm: a functional analytic approach to inverse problems in deep learning
Lilian Wong
- Published: 31 Oct 2023, Last Modified: 31 Oct 2023
- DLDE III Poster
- Readers: Everyone
Individualized Dosing Dynamics via Neural Eigen Decomposition
Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
- Published: 31 Oct 2023, Last Modified: 31 Oct 2023
- DLDE III Poster
- Readers: Everyone
Towards Optimal Network Depths: Control-Inspired Acceleration of Training and Inference in Neural ODEs
Keyan Miao, Konstantinos Gatsis
- Published: 31 Oct 2023, Last Modified: 09 Nov 2023
- DLDE III Poster
- Readers: Everyone
ELeGANt: An Euler-Lagrange Analysis of Wasserstein Generative Adversarial Networks
Siddarth Asokan, Chandra Sekhar Seelamantula
- Published: 31 Oct 2023, Last Modified: 02 Nov 2023
- DLDE III SpotlightTalk
- Readers: Everyone
Deep PDE Solvers for Subgrid Modelling and Out-of-Distribution Generalization
Patrick Chatain, Adam M Oberman
- Published: 31 Oct 2023, Last Modified: 07 Nov 2023
- DLDE III Poster
- Readers: Everyone
One-Shot Transfer Learning for Nonlinear ODEs
Wanzhou Lei, Pavlos Protopapas, Joy Parikh
- Published: 31 Oct 2023, Last Modified: 31 Oct 2023
- DLDE III Poster
- Readers: Everyone
Vertical AI-driven Scientific Discovery
Yexiang Xue
- Published: 31 Oct 2023, Last Modified: 31 Oct 2023
- DLDE III SpotlightTalk
- Readers: Everyone
Solving Noisy Inverse Problems via Posterior Sampling: A Policy Gradient View-Point
Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai
- Published: 31 Oct 2023, Last Modified: 31 Oct 2023
- DLDE III Poster
- Readers: Everyone
Physics-Informed Neural Operators with Exact Differentiation on Arbitrary Geometries
Colin White, Julius Berner, Jean Kossaifi, Mogab Elleithy, David Pitt, Daniel Leibovici, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar
- Published: 31 Oct 2023, Last Modified: 10 Nov 2023
- DLDE III Poster
- Readers: Everyone
Physics-Informed Transformer Networks
Fabricio Dos Santos, Tara Akhound-Sadegh, Siamak Ravanbakhsh
- Published: 31 Oct 2023, Last Modified: 08 Nov 2023
- DLDE III Poster
- Readers: Everyone
Neural Differential Recurrent Neural Network with Adaptive Time Steps
Yixuan Tan, Liyan Xie, Xiuyuan Cheng
- Published: 31 Oct 2023, Last Modified: 08 Nov 2023
- DLDE III Poster
- Readers: Everyone
Generalized One-Shot Transfer Learning of Linear Ordinary and Partial Differential Equations
Hari Raval, Pavlos Protopapas
- Published: 31 Oct 2023, Last Modified: 10 Nov 2023
- DLDE III Poster
- Readers: Everyone
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows
Etrit Haxholli, Marco Lorenzi
- Published: 31 Oct 2023, Last Modified: 09 Nov 2023
- DLDE III Poster
- Readers: Everyone