Aditya Golatkar

According to our database, Aditya Golatkar authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto

CoRR, 2024

Tangent Transformers for Composition, Privacy and Removal.

Tian Yu Liu, Aditya Golatkar, Stefano Soatto

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Role of Over-Parameterization in Generalization of 3-layer ReLU Networks.

Simranjit Singh, Aditya Golatkar, Avijit Verma

Proceedings of the Second Tiny Papers Track at ICLR 2024, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

CPR: Retrieval Augmented Generation for Copyright Protection.

Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unlearning and Privacy in Deep Neural Networks

Aditya Golatkar

PhD thesis, 2023

Training Data Protection with Compositional Diffusion Models.

Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto

CoRR, 2023

SAFE: Machine Unlearning With Shard Graphs.

Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Integral Continual Learning Along the Tangent Vector Field of Tasks.

Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille

CoRR, 2022

On Leave-One-Out Conditional Mutual Information For Generalization.

Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mixed Differential Privacy in Computer Vision.

Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers.

Stephanie Tsuei, Aditya Golatkar, Stefano Soatto

CoRR, 2021

Mixed-Privacy Forgetting in Deep Networks.

Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

LQF: Linear Quadratic Fine-Tuning.

Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations.

Aditya Golatkar, Alessandro Achille, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2020, 2020

Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks.

Aditya Golatkar, Alessandro Achille, Stefano Soatto

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Sparse Kernel PCA for Outlier Detection.

Rudrajit Das, Aditya Golatkar, Suyash P. Awate

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Classification of Breast Cancer Histology Using Deep Learning.

Aditya Golatkar, Deepak Anand, Amit Sethi

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018