Generative Adversarial Perturbations. - Omid Poursaeed; Isay Katsman; Bicheng Gao; Serge J. Belongie (CVPR, 2018)

Semantic Segmentation with Scarce Data. - Isay Katsman; Rohun Tripathi; Andreas Veit; Serge J. Belongie (CoRR, 2018)

Intermediate Level Adversarial Attack for Enhanced Transferability. - Qian Huang; Zeqi Gu; Isay Katsman; Horace He; Pian Pawakapan; Zhiqiu Lin; Serge J. Belongie; Ser-Nam Lim (CoRR, 2018)

Adversarial Example Decomposition. - Horace He; Aaron Lou; Qingxuan Jiang; Isay Katsman; Pian Pawakapan; Serge J. Belongie; Ser-Nam Lim (CoRR, 2018)

Fashion++: Minimal Edits for Outfit Improvement. - Wei-Lin Hsiao; Isay Katsman; Chao-Yuan Wu; Devi Parikh; Kristen Grauman (ICCV, 2019)

Enhancing Adversarial Example Transferability With an Intermediate Level Attack. - Qian Huang; Isay Katsman; Zeqi Gu; Horace He; Serge J. Belongie; Ser-Nam Lim (ICCV, 2019)

Differentiating through the Fréchet Mean. - Aaron Lou; Isay Katsman; Qingxuan Jiang; Serge J. Belongie; Ser-Nam Lim; Christopher De Sa (ICML, 2020)

Neural Manifold Ordinary Differential Equations. - Aaron Lou; Derek Lim; Isay Katsman; Leo Huang; Qingxuan Jiang; Ser-Nam Lim; Christopher De Sa (NeurIPS, 2020)

Equivariant Manifold Flows. - Isay Katsman; Aaron Lou; Derek Lim; Qingxuan Jiang; Ser-Nam Lim; Christopher De Sa (NeurIPS, 2021)

Riemannian Residual Neural Networks. - Isay Katsman; Eric Ming Chen; Sidhanth Holalkere; Anna Asch; Aaron Lou; Ser Nam Lim; Christopher De Sa (NeurIPS, 2023)

Revisiting the Necessity of Graph Learning and Common Graph Benchmarks. - Isay Katsman; Ethan Lou; Anna Gilbert (CoRR, 2024)

Shedding Light on Problems with Hyperbolic Graph Learning. - Isay Katsman; Anna Gilbert (Trans. Mach. Learn. Res., 2025)