Stefano Soatto

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 295

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)
Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CoRR (2024)
Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
Heat Death of Generative Models in Closed-Loop Learning. CoRR (2024)
Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models. CoRR (2024)
Michael Kleinman, Alessandro Achille, Stefano Soatto
Critical Learning Periods Emerge Even in Deep Linear Networks. ICLR (2024)
Pei Wang, Zhaowei Cai, Hao Yang, Ashwin Swaminathan, R. Manmatha, Stefano Soatto
Mixed-Query Transformer: A Unified Image Segmentation Architecture. CoRR (2024)
Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
Multi-Modal Hallucination Control by Visual Information Grounding. CoRR (2024)
Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto
Fewer Truncations Improve Language Modeling. CoRR (2024)
Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
Compositional Structures in Neural Embedding and Interaction Decompositions. CoRR (2024)
Dong Lao, Congli Wang, Alex Wong, Stefano Soatto
Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation. CoRR (2024)
Xiaohan Fei, Chethan Parameshwara, Jiawei Mo, Xiaolong Li, Ashwin Swaminathan, CJ Taylor, Paolo Favaro, Stefano Soatto
A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D. CoRR (2024)
Xiaolong Li, Jiawei Mo, Ying Wang, Chethan Parameshwara, Xiaohan Fei, Ashwin Swaminathan, CJ Taylor, Zhuowen Tu, Paolo Favaro, Stefano Soatto
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model. 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)
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
Meaning Representations from Trajectories in Autoregressive Models. ICLR (2024)
Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Yangchao Wu, Stefano Soatto, Byung-Woo Hong, Dong Lao, Alex Wong
WorDepth: Variational Language Prior for Monocular Depth Estimation. CoRR (2024)
Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto
CPR: Retrieval Augmented Generation for Copyright Protection. CoRR (2024)
Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano Soatto
Non-autoregressive Sequence-to-Sequence Vision-Language Models. CoRR (2024)
Evan Becker, Stefano Soatto
Cycles of Thought: Measuring LLM Confidence through Stable Explanations. CoRR (2024)
Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Vijay Mahadevan, Zhuowen Tu, Stefano Soatto
Enhancing Vision-Language Pre-training with Rich Supervisions. CoRR (2024)
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
Tangent Transformers for Composition, Privacy and Removal. ICLR (2024)
Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI. CoRR (2024)
Benet Oriol Sabat, Alessandro Achille, Matthew Trager, Stefano Soatto
NeRF-Insert: 3D Local Editing with Multimodal Control Signals. CoRR (2024)
Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto
On the Scalability of Diffusion-based Text-to-Image Generation. CoRR (2024)
Ziqi Lu, Jianbo Ye, Xiaohan Fei, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, Stefano Soatto
Fast Sparse View Guided NeRF Update for Object Reconfigurations. CoRR (2024)
Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
SAFE: Machine Unlearning With Shard Graphs. ICCV (2023)
Alessandro Achille, Michael Kearns, Carson Klingenberg, Stefano Soatto
AI Model Disgorgement: Methods and Choices. CoRR (2023)
Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR (2023)
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR (2023)
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
Leveraging sparse and shared feature activations for disentangled representation learning. CoRR (2023)
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
Leveraging sparse and shared feature activations for disentangled representation learning. NeurIPS (2023)
Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto
Guided Recommendation for Model Fine-Tuning. CVPR (2023)
Akash Deep Singh, Yunhao Ba, Ankur Sarker, Howard Zhang, Achuta Kadambi, Stefano Soatto, Mani B. Srivastava, Alex Wong
Depth Estimation from Camera Image and mmWave Radar Point Cloud. CVPR (2023)
Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CoRR (2023)
Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Matthew Trager, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto
Towards Visual Foundational Models of Physical Scenes. CoRR (2023)
Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
SAFE: Machine Unlearning With Shard Graphs. CoRR (2023)
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
Train/Test-Time Adaptation with Retrieval. CoRR (2023)
Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts. CoRR (2023)
Tian Yu Liu, Stefano Soatto
Tangent Model Composition for Ensembling and Continual Fine-tuning. CoRR (2023)
Tian Yu Liu, Stefano Soatto
Tangent Model Composition for Ensembling and Continual Fine-tuning. ICCV (2023)
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR (2023)
Michael Kleinman, Alessandro Achille, Stefano Soatto
Critical Learning Periods for Multisensory Integration in Deep Networks. CVPR (2023)
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
Tangent Transformers for Composition, Privacy and Removal. CoRR (2023)
Stephanie Tsuei, Stefano Soatto
Quantifying VIO Uncertainty. CoRR (2023)
Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CVPR (2023)
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
Meaning Representations from Trajectories in Autoregressive Models. CoRR (2023)
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS (2023)
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
Gacs-Korner Common Information Variational Autoencoder. NeurIPS (2023)
Michael Kleinman, Alessandro Achille, Stefano Soatto
Critical Learning Periods Emerge Even in Deep Linear Networks. CoRR (2023)
Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu
Taming AI Bots: Controllability of Neural States in Large Language Models. CoRR (2023)
Shay Deutsch, Stefano Soatto
Graph Spectral Embedding using the Geodesic Betweenness Centrality. AISTATS (2023)
Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto
Masked Vision and Language Modeling for Multi-modal Representation Learning. ICLR (2023)
Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto
Sub-token ViT Embedding via Stochastic Resonance Transformers. CoRR (2023)
Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. CoRR (2023)
Achuta Kadambi, Celso de Melo, Cho-Jui Hsieh, Mani B. Srivastava, Stefano Soatto
Incorporating physics into data-driven computer vision. Nat. Mac. Intell. 5 (6) (2023)
Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto
Prompt Algebra for Task Composition. CoRR (2023)
Dong Lao, Zhengyang Hu, Francesco Locatello, Yanchao Yang, Stefano Soatto
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots. CoRR (2023)
Stephanie Tsuei, Wenjie Mo, Stefano Soatto
Feature Tracks are not Zero-Mean Gaussian. CoRR (2023)
Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR (2023)
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. ICCV (2023)
Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
Training Data Protection with Compositional Diffusion Models. CoRR (2023)
Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto
Harnessing Unrecognizable Faces for Improving Face Recognition. WACV (2023)
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
Train/Test-Time Adaptation with Retrieval. CVPR (2023)
Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso M. de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi
Not Just Streaks: Towards Ground Truth for Single Image Deraining. ECCV (7) (2022)
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
Semi-supervised Vision Transformers at Scale. NeurIPS (2022)
Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto
Mixed Differential Privacy in Computer Vision. CVPR (2022)
Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. ECCV (36) (2022)
Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong
Stereoscopic Universal Perturbations across Different Architectures and Datasets. CVPR (2022)
Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. CoRR (2022)
Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto
Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR (2022)
Dong Lao, Alex Wong, Stefano Soatto
Does Monocular Depth Estimation Provide Better Pre-training than Classification for Semantic Segmentation? CoRR (2022)
Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto
Contrastive Neighborhood Alignment. CoRR (2022)
Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto
On Leave-One-Out Conditional Mutual Information For Generalization. CoRR (2022)
Luca Zancato, A. Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR (2022)
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
MeMOT: Multi-Object Tracking with Memory. CoRR (2022)
Shay Deutsch, Stefano Soatto
Graph Spectral Embedding using the Geodesic Betweeness Centrality. CoRR (2022)
Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto
Omni-DETR: Omni-Supervised Object Detection with Transformers. CoRR (2022)
Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training. CoRR (2022)
Alexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Stefano Soatto, Saad Nadeem
Stain-invariant self supervised learning for histopathology image analysis. CoRR (2022)
Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto
Class-Incremental Learning with Strong Pre-trained Models. CVPR (2022)
Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto
Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR (2022)
Michael Kleinman, Alessandro Achille, Stefano Soatto
Critical Learning Periods for Multisensory Integration in Deep Networks. CoRR (2022)
Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi
Towards Ground Truth for Single Image Deraining. CoRR (2022)
Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
DIVA: Dataset Derivative of a Learning Task. ICLR (2022)
Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto
Omni-DETR: Omni-Supervised Object Detection with Transformers. CVPR (2022)
Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto
Towards Differential Relational Privacy and its use in Question Answering. CoRR (2022)
Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
Stochastic batch size for adaptive regularization in deep network optimization. Pattern Recognit. 129 (2022)
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
MeMOT: Multi-Object Tracking with Memory. CVPR (2022)
Alessandro Achille, Stefano Soatto
On Binding Objects to Symbols: Learning Physical Concepts to Understand Real from Fake. CoRR (2022)
Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto
Masked Vision and Language Modeling for Multi-modal Representation Learning. CoRR (2022)
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
Semi-supervised Vision Transformers at Scale. CoRR (2022)
Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto
Class-Incremental Learning with Strong Pre-trained Models. 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)
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
Gacs-Korner Common Information Variational Autoencoder. CoRR (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)
Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto
An Adaptive Framework for Learning Unsupervised Depth Completion. CoRR (2021)
Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto
Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. ICCV (2021)
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR (2021)
Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. BrainLes@MICCAI (1) (2021)
Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto
An Adaptive Framework for Learning Unsupervised Depth Completion. IEEE Robotics Autom. Lett. 6 (2) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefano Soatto