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

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)

Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. - Tolga Birdal; Aaron Lou; Leonidas J. Guibas; Umut Simsekli (NeurIPS, 2021)

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

Reflected Diffusion Models. - Aaron Lou; Stefano Ermon (ICML, 2023)

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

Scaling Riemannian Diffusion Models. - Aaron Lou; Minkai Xu; Adam Farris; Stefano Ermon (NeurIPS, 2023)

Discrete Diffusion Language Modeling by Estimating the Ratios of the Data Distribution. - Aaron Lou; Chenlin Meng; Stefano Ermon (CoRR, 2023)

Scaling Riemannian Diffusion Models. - Aaron Lou; Minkai Xu; Stefano Ermon (CoRR, 2023)

Diffusion Model Alignment Using Direct Preference Optimization. - Bram Wallace; Meihua Dang; Rafael Rafailov; Linqi Zhou; Aaron Lou; Senthil Purushwalkam; Stefano Ermon; Caiming Xiong; Shafiq Joty; Nikhil Naik (CVPR, 2024)

Denoising Diffusion Bridge Models. - Linqi Zhou; Aaron Lou; Samar Khanna; Stefano Ermon (ICLR, 2024)

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution. - Aaron Lou; Chenlin Meng; Stefano Ermon (ICML, 2024)

Equivariant Graph Neural Operator for Modeling 3D Dynamics. - Minkai Xu; Jiaqi Han; Aaron Lou; Jean Kossaifi; Arvind Ramanathan; Kamyar Azizzadenesheli; Jure Leskovec; Stefano Ermon; Anima Anandkumar (ICML, 2024)

Geometric Trajectory Diffusion Models. - Jiaqi Han; Minkai Xu; Aaron Lou; Haotian Ye; Stefano Ermon (NeurIPS, 2024)