Zweig, Aaron

8 publications

ICLR 2024 Symmetric Single Index Learning Aaron Zweig, Joan Bruna

NeurIPS 2023 On Single-Index Models Beyond Gaussian Data Aaron Zweig, Loucas Pillaud-Vivien, Joan Bruna

NeurIPS 2022 Exponential Separations in Symmetric Neural Networks Aaron Zweig, Joan Bruna

ICML 2021 A Functional Perspective on Learning Symmetric Functions with Neural Networks Aaron Zweig, Joan Bruna

NeurIPSW 2020 Neural Algorithms for Graph Navigation Aaron Zweig, Nesreen Ahmed, Theodore L. Willke, Guixiang Ma

UAI 2020 Provably Efficient Third-Person Imitation from Offline Observation Aaron Zweig, Joan Bruna

ICML 2019 Graphite: Iterative Generative Modeling of Graphs Aditya Grover, Aaron Zweig, Stefano Ermon

ICLR 2019 Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon