Isay Katsman - RankMe

22 papers A* 7Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Revisiting Graph Learning Benchmarks: When is the Graph Actually Necessary? Neural Process. Lett. Isay Katsman, Ethan Lou, Anna Gilbert
2026	J	`jnl`	Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators. CoRR Zhengyang Su, Isay Katsman, Yueqi Wang, Ruining He, Lukasz Heldt, Raghunandan H. Keshavan, Shao-Chuan Wang, Xinyang Yi, Mingyan Gao, Onkar Dalal, Lichan Hong, Ed H. Chi, Ningren Han
2025	J	`jnl`	Shedding Light on Problems with Hyperbolic Graph Learning. Trans. Mach. Learn. Res. Isay Katsman, Anna Gilbert
2024	J	`jnl`	Revisiting the Necessity of Graph Learning and Common Graph Benchmarks. CoRR Isay Katsman, Ethan Lou, Anna Gilbert
2024	J	`jnl`	Shedding Light on Problems with Hyperbolic Graph Learning. CoRR Isay Katsman, Anna Gilbert
2023	A*	`conf`	Riemannian Residual Neural Networks. NeurIPS Isay Katsman, Eric Ming Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser Nam Lim, Christopher De Sa
2023	J	`jnl`	Riemannian Residual Neural Networks. CoRR Isay Katsman, Eric Ming Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser-Nam Lim, Christopher De Sa
2021	A*	`conf`	Equivariant Manifold Flows. NeurIPS Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
2021	J	`jnl`	Equivariant Manifold Flows. CoRR Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
2020	A*	`conf`	Differentiating through the Fréchet Mean. ICML Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge J. Belongie, Ser-Nam Lim, Christopher De Sa
2020	J	`jnl`	Differentiating through the Fréchet Mean. CoRR Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge J. Belongie, Ser-Nam Lim, Christopher De Sa
2020	A*	`conf`	Neural Manifold Ordinary Differential Equations. NeurIPS Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
2020	J	`jnl`	Neural Manifold Ordinary Differential Equations. CoRR Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
2019	A*	`conf`	Enhancing Adversarial Example Transferability With an Intermediate Level Attack. ICCV Qian Huang, Isay Katsman, Zeqi Gu, Horace He, Serge J. Belongie, Ser-Nam Lim
2019	J	`jnl`	Enhancing Adversarial Example Transferability with an Intermediate Level Attack. CoRR Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge J. Belongie, Ser-Nam Lim
2019	A*	`conf`	Fashion++: Minimal Edits for Outfit Improvement. ICCV Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman
2019	J	`jnl`	Fashion++: Minimal Edits for Outfit Improvement. CoRR Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman
2018	J	`jnl`	Adversarial Example Decomposition. CoRR Horace He, Aaron Lou, Qingxuan Jiang, Isay Katsman, Pian Pawakapan, Serge J. Belongie, Ser-Nam Lim
2018	A*	`conf`	Generative Adversarial Perturbations. CVPR Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge J. Belongie
2018	J	`jnl`	Intermediate Level Adversarial Attack for Enhanced Transferability. CoRR Qian Huang, Zeqi Gu, Isay Katsman, Horace He, Pian Pawakapan, Zhiqiu Lin, Serge J. Belongie, Ser-Nam Lim
2018	J	`jnl`	Semantic Segmentation with Scarce Data. CoRR Isay Katsman, Rohun Tripathi, Andreas Veit, Serge J. Belongie
2017	J	`jnl`	Generative Adversarial Perturbations. CoRR Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge J. Belongie