Aaron Zweig - RankMe

22 papers A* 5A 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Lineage-guided Geodesics with Finsler Geometry. CoRR Aaron Zweig, Mingxuan Zhang, David A. Knowles, Elham Azizi
2025	J	`jnl`	Energy Guided Geometric Flow Matching. CoRR Aaron Zweig, Mingxuan Zhang, Elham Azizi, David A. Knowles
2025	J	`jnl`	Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations. CoRR Zaikang Lin, Sei Chang, Aaron Zweig, Minseo Kang, Elham Azizi, David A. Knowles
2025	J	`jnl`	Towards Identifiability of Interventional Stochastic Differential Equations. CoRR Aaron Zweig, Zaikang Lin, Elham Azizi, David A. Knowles
2024	A*	`conf`	Symmetric Single Index Learning. ICLR Aaron Zweig, Joan Bruna
2024	—	`—`	Theory of Symmetric Neural Networks Aaron Zweig
2023	J	`jnl`	On Single Index Models beyond Gaussian Data. CoRR Joan Bruna, Loucas Pillaud-Vivien, Aaron Zweig
2023	A*	`conf`	On Single-Index Models beyond Gaussian Data. NeurIPS Aaron Zweig, Loucas Pillaud-Vivien, Joan Bruna
2023	J	`jnl`	Symmetric Single Index Learning. CoRR Aaron Zweig, Joan Bruna
2022	A*	`conf`	Exponential Separations in Symmetric Neural Networks. NeurIPS Aaron Zweig, Joan Bruna
2022	J	`jnl`	Exponential Separations in Symmetric Neural Networks. CoRR Aaron Zweig, Joan Bruna
2022	J	`jnl`	Towards Antisymmetric Neural Ansatz Separation. CoRR Aaron Zweig, Joan Bruna
2021	A*	`conf`	A Functional Perspective on Learning Symmetric Functions with Neural Networks. ICML Aaron Zweig, Joan Bruna
2020	J	`jnl`	A Functional Perspective on Learning Symmetric Functions with Neural Networks. CoRR Aaron Zweig, Joan Bruna
2020	A	`conf`	Provably Efficient Third-Person Imitation from Offline Observation. UAI Aaron Zweig, Joan Bruna
2020	J	`jnl`	Provably Efficient Third-Person Imitation from Offline Observation. CoRR Aaron Zweig, Joan Bruna
2019	A*	`conf`	Graphite: Iterative Generative Modeling of Graphs. ICML Aditya Grover, Aaron Zweig, Stefano Ermon
2019	—	`conf`	Stochastic Optimization of Sorting Networks via Continuous Relaxations. ICLR (Poster) Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon
2019	J	`jnl`	Stochastic Optimization of Sorting Networks via Continuous Relaxations. CoRR Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon
2018	J	`jnl`	Graphite: Iterative Generative Modeling of Graphs. CoRR Aditya Grover, Aaron Zweig, Stefano Ermon
2018	J	`jnl`	P-PIF: a ProvONE provenance interoperability framework for analyzing heterogeneous workflow specifications and provenance traces. Distributed Parallel Databases Ajinkya Prabhune, Aaron Zweig, Rainer Stotzka, Jürgen Hesser, Michael Gertz
2016	—	`conf`	Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs. IPAW Ajinkya Prabhune, Aaron Zweig, Rainer Stotzka, Michael Gertz, Jürgen Hesser