Classification of Breast Cancer Histology Using Deep Learning. - Aditya Golatkar; Deepak Anand; Amit Sethi (ICIAR, 2018)

Sparse Kernel PCA for Outlier Detection. - Rudrajit Das; Aditya Golatkar; Suyash P. Awate (ICMLA, 2018)

Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. - Aditya Golatkar; Alessandro Achille; Stefano Soatto (NeurIPS, 2019)

Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. - Aditya Golatkar; Alessandro Achille; Stefano Soatto (CVPR, 2020)

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. - Aditya Golatkar; Alessandro Achille; Stefano Soatto (ECCV (29), 2020)

LQF: Linear Quadratic Fine-Tuning. - Alessandro Achille; Aditya Golatkar; Avinash Ravichandran; Marzia Polito; Stefano Soatto (CVPR, 2021)

Mixed-Privacy Forgetting in Deep Networks. - Aditya Golatkar; Alessandro Achille; Avinash Ravichandran; Marzia Polito; Stefano Soatto (CVPR, 2021)

Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers. - Stephanie Tsuei; Aditya Golatkar; Stefano Soatto (CoRR, 2021)

Mixed Differential Privacy in Computer Vision. - Aditya Golatkar; Alessandro Achille; Yu-Xiang Wang 003; Aaron Roth 001; Michael Kearns; Stefano Soatto (CVPR, 2022)

On Leave-One-Out Conditional Mutual Information For Generalization. - Mohamad Rida Rammal; Alessandro Achille; Aditya Golatkar; Suhas N. Diggavi; Stefano Soatto (NeurIPS, 2022)

Integral Continual Learning Along the Tangent Vector Field of Tasks. - Tian Yu Liu; Aditya Golatkar; Stefano Soatto; Alessandro Achille (CoRR, 2022)

SAFE: Machine Unlearning With Shard Graphs. - Yonatan Dukler; Benjamin Bowman; Alessandro Achille; Aditya Golatkar; Ashwin Swaminathan; Stefano Soatto (ICCV, 2023)

Training Data Protection with Compositional Diffusion Models. - Aditya Golatkar; Alessandro Achille; Ashwin Swaminathan; Stefano Soatto (CoRR, 2023)

Unlearning and Privacy in Deep Neural Networks - Aditya Golatkar (2023)

CPR: Retrieval Augmented Generation for Copyright Protection. - Aditya Golatkar; Alessandro Achille; Luca Zancato; Yu-Xiang Wang 003; Ashwin Swaminathan; Stefano Soatto (CVPR, 2024)

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. - Benjamin Biggs; Arjun Seshadri; Yang Zou; Achin Jain; Aditya Golatkar; Yusheng Xie; Alessandro Achille; Ashwin Swaminathan; Stefano Soatto (ECCV (63), 2024)

Role of Over-Parameterization in Generalization of 3-layer ReLU Networks. - Simranjit Singh 003; Aditya Golatkar; Avijit Verma (Tiny Papers @ ICLR, 2024)

Tangent Transformers for Composition, Privacy and Removal. - Tian Yu Liu; Aditya Golatkar; Stefano Soatto (ICLR, 2024)

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. - Luca Zancato; Arjun Seshadri; Yonatan Dukler; Aditya Golatkar; Yantao Shen 002; Benjamin Bowman; Matthew Trager; Alessandro Achille; Stefano Soatto (NeurIPS, 2024)

PICASO: Permutation-Invariant Context Composition with State Space Models. - Tian Yu Liu; Alessandro Achille; Matthew Trager; Aditya Golatkar; Luca Zancato; Stefano Soatto (ICLR, 2025)

Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models. - Elvis Nunez; Luca Zancato; Benjamin Bowman; Aditya Golatkar; Wei Xia; Stefano Soatto (NeuS, 2025)