Soatto, Stefano

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

Golatkar, A., Achille, A., & Soatto, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 394

Information dropout: learning optimal representations through noisy computation

Achille, A., & Soatto, S. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 356

Mixed-Privacy Forgetting in Deep Networks

Golatkar, A., Achille, A., Ravichandran, A., Polito, M., & Soatto, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 125

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

Golatkar, A., Achille, A., & Soatto, S. (2020) · Lecture Notes in Computer Science

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 122

Steps Towards a Theory of Visual Information: Active Perception, Signal-to-Symbol Conversion and the Interplay Between Sensing and Control

Soatto, S. (2011) · arXiv

Advanced Vision and ImagingVisual perception and processing mechanisms

Cited by 40

A Power-Performance Approach to Comparing Sensor Families, with application to comparing neuromorphic to traditional vision sensors

Censi, A., Mueller, E., Frazzoli, E., & Soatto, S. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Vision and ImagingAdvanced Memory and Neural Computing

Cited by 26

Wide-Sense Estimation on the Special Orthogonal Group

Chiuso, A., Picci, G., & Soatto, S. (2008) · Communications in Information and Systems

Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

Cited by 25

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory

Zancato, L., Seshadri, A., Dukler, Y., Golatkar, A., Shen, Y., Bowman, B., Trager, M., Achille, A., & Soatto, S. (2024) · arXiv

Control Systems and IdentificationNeural Networks and Applications

Cited by 2

PICASO: Permutation-Invariant Context Composition with State Space Models

Liu, T. Y., Achille, A., Trager, M., Golatkar, A., Zancato, L., & Soatto, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0