Aaron Zweig

According to our database1, Aaron Zweig authored at least 10 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Symmetric Single Index Learning.
CoRR, 2023

On Single-Index Models beyond Gaussian Data.
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.
CoRR, 2022

Exponential Separations in Symmetric Neural Networks.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Provably Efficient Third-Person Imitation from Offline Observation.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019
Graphite: Iterative Generative Modeling of Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019

Stochastic Optimization of Sorting Networks via Continuous Relaxations.
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.
Distributed Parallel Databases, 2018

2016
Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs.
Proceedings of the Provenance and Annotation of Data and Processes, 2016


  Loading...