Aditya Golatkar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Diffusion Models

Conditional Mutual Information

Top Venues

Publications

Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. CoRR (2024)
Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR (2024)
Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto
CPR: Retrieval Augmented Generation for Copyright Protection. CoRR (2024)
Simranjit Singh, Aditya Golatkar, Avijit Verma
Role of Over-Parameterization in Generalization of 3-layer ReLU Networks. Tiny Papers @ ICLR (2024)
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
Tangent Transformers for Composition, Privacy and Removal. ICLR (2024)
Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
SAFE: Machine Unlearning With Shard Graphs. ICCV (2023)
Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
SAFE: Machine Unlearning With Shard Graphs. CoRR (2023)
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
Tangent Transformers for Composition, Privacy and Removal. CoRR (2023)
Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
Training Data Protection with Compositional Diffusion Models. CoRR (2023)
Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto
Mixed Differential Privacy in Computer Vision. CVPR (2022)
Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto
On Leave-One-Out Conditional Mutual Information For Generalization. CoRR (2022)
Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto
On Leave-One-Out Conditional Mutual Information For Generalization. NeurIPS (2022)
Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille
Integral Continual Learning Along the Tangent Vector Field of Tasks. CoRR (2022)
Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto
Mixed Differential Privacy in Computer Vision. CoRR (2022)
Stephanie Tsuei, Aditya Golatkar, Stefano Soatto
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers. CoRR (2021)
Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto
Mixed-Privacy Forgetting in Deep Networks. CVPR (2021)
Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto
LQF: Linear Quadratic Fine-Tuning. CVPR (2021)
Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto
Mixed-Privacy Forgetting in Deep Networks. CoRR (2020)
Aditya Golatkar, Alessandro Achille, Stefano Soatto
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. ECCV (29) (2020)
Aditya Golatkar, Alessandro Achille, Stefano Soatto
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. CoRR (2020)
Aditya Golatkar, Alessandro Achille, Stefano Soatto
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CVPR (2020)
Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto
LQF: Linear Quadratic Fine-Tuning. CoRR (2020)
Aditya Golatkar, Alessandro Achille, Stefano Soatto
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CoRR (2019)
Aditya Golatkar, Alessandro Achille, Stefano Soatto
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. CoRR (2019)
Aditya Golatkar, Alessandro Achille, Stefano Soatto
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. NeurIPS (2019)
Rudrajit Das, Aditya Golatkar, Suyash P. Awate
Sparse Kernel PCA for Outlier Detection. CoRR (2018)
Aditya Golatkar, Deepak Anand, Amit Sethi
Classification of Breast Cancer Histology using Deep Learning. CoRR (2018)
Aditya Golatkar, Deepak Anand, Amit Sethi
Classification of Breast Cancer Histology Using Deep Learning. ICIAR (2018)
Rudrajit Das, Aditya Golatkar, Suyash P. Awate
Sparse Kernel PCA for Outlier Detection. ICMLA (2018)