Aaron Zweig

According to our database, Aaron Zweig authored at least 15 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Lineage-guided Geodesics with Finsler Geometry.

Aaron Zweig, Mingxuan Zhang, David A. Knowles, Elham Azizi

CoRR, March, 2026

2025

Energy Guided Geometric Flow Matching.

Aaron Zweig, Mingxuan Zhang, Elham Azizi, David A. Knowles

CoRR, September, 2025

Towards Identifiability of Interventional Stochastic Differential Equations.

Aaron Zweig, Zaikang Lin, Elham Azizi, David A. Knowles

CoRR, May, 2025

Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations.

Zaikang Lin, Sei Chang, Aaron Zweig, Minseo Kang, Elham Azizi, David A. Knowles

CoRR, January, 2025

2024

Theory of Symmetric Neural Networks

Aaron Zweig

PhD thesis, 2024

Symmetric Single Index Learning.

Aaron Zweig, Joan Bruna

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On Single-Index Models beyond Gaussian Data.

Aaron Zweig, Loucas Pillaud-Vivien, Joan Bruna

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

2022

Towards Antisymmetric Neural Ansatz Separation.

Aaron Zweig, Joan Bruna

CoRR, 2022

Exponential Separations in Symmetric Neural Networks.

Aaron Zweig, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Functional Perspective on Learning Symmetric Functions with Neural Networks.

Aaron Zweig, Joan Bruna

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Provably Efficient Third-Person Imitation from Offline Observation.

Aaron Zweig, Joan Bruna

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Graphite: Iterative Generative Modeling of Graphs.

Aditya Grover, Aaron Zweig, Stefano Ermon

Proceedings of the 36th International Conference on Machine Learning, 2019

Stochastic Optimization of Sorting Networks via Continuous Relaxations.

Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

P-PIF: a ProvONE provenance interoperability framework for analyzing heterogeneous workflow specifications and provenance traces.

Ajinkya Prabhune, Aaron Zweig, Rainer Stotzka, Jürgen Hesser, Michael Gertz

Distributed Parallel Databases, 2018

2016

Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs.

Ajinkya Prabhune, Aaron Zweig, Rainer Stotzka, Michael Gertz, Jürgen Hesser

Proceedings of the Provenance and Annotation of Data and Processes, 2016