Stefano Soatto
- Emergence of Invariance and Disentanglement in Deep Representations
2017/06/05 by Alessandro Achille, Stefano Soatto, Achille, Alessandro +1 · 2 voices · 17 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.LG #stat.ML
- Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep\n Networks
2019/11/12 by Aditya Golatkar, Alessandro Achille, Golatkar, Aditya +3 · 81 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Mathematics of Deep Learning
2017/12/13 by René Vidal, Rene Vidal, Joan Bruna +6 · 1 voice · 4 citations
Computer Science · Engineering · #Neural Networks and Applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #cs.CV #cs.LG
- Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
2016/11/06 by Pratik Chaudhari, Anna Choromanska, Chaudhari, Pratik +15 · 48 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications
- FDA: Fourier Domain Adaptation for Semantic Segmentation
2020/04/11 by Yanchao Yang, Yang, Yanchao, Stefano Soatto +1 · 22 citations
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Critical Learning Periods in Deep Neural Networks
2017/11/24 by Alessandro Achille, Achille, Alessandro, Matteo Rovere +3 · 13 citations
Computer Science · Neuroscience · #Neural Networks and Applications #Machine Learning and ELM #Neural dynamics and brain function
- MeMOT: Multi-Object Tracking with Memory
2022/03/31 by Jiarui Cai, Mingze Xu, Cai, Jiarui +11 · 14 citations
Computer Science · Engineering · #Video Surveillance and Tracking Methods #Fire Detection and Safety Systems #Advanced Neural Network Applications
- Forgetting Outside the Box: Scrubbing Deep Networks of Information\n Accessible from Input-Output Observations
2020/03/05 by Aditya Golatkar, Golatkar, Aditya, Alessandro Achille +3 · 11 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Stochastic gradient descent performs variational inference, converges to\n limit cycles for deep networks
2017/10/30 by Pratik Chaudhari, Chaudhari, Pratik, Stefano Soatto +1 · 8 citations
Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Statistical Mechanics (cond-mat.stat-mech) #Stochastic Gradient Optimization Techniques
- Towards Backward-Compatible Representation Learning
2020/03/26 by Yantao Shen, Yuanjun Xiong, Shen, Yantao +5 · 7 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face recognition and analysis
- Rethinking the Hyperparameters for Fine-tuning
2020/02/19 by Hao Li, Pratik Chaudhari, Li, Hao +11 · 9 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Multimodal Machine Learning Applications
- Not Just Streaks: Towards Ground Truth for Single Image Deraining
2022/06/22 by Yunhao Ba, Ba, Yunhao, Howard Zhang +19 · 7 citations
Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Image and Signal Denoising Methods
- Masked Vision and Language Modeling for Multi-modal Representation Learning
2022/08/03 by Gukyeong Kwon, Zhaowei Cai, Kwon, Gukyeong +9 · 7 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques
- Task Adaptive Parameter Sharing for Multi-Task Learning
2022/03/30 by Matthew Wallingford, Hao Li, Wallingford, Matthew +11 · 6 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Deep Relaxation: partial differential equations for optimizing deep\n neural networks
2017/04/17 by Pratik Chaudhari, Adam M. Oberman, Chaudhari, Pratik +7 · 4 citations
Computer Science · Physics and Astronomy · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
2021/01/21 by Zhaowei Cai, Avinash Ravichandran, Cai, Zhaowei +9 · 6 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques
- Positive-Congruent Training: Towards Regression-Free Model Updates
2020/11/18 by Sijie Yan, Yuanjun Xiong, Yan, Sijie +13 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Cycles of Thought: Measuring LLM Confidence through Stable Explanations
2024/06/05 by Evan Becker, Stefano Soatto, Becker, Evan +1 · 8 citations
Decision Sciences · #Auction Theory and Applications
- Dense Depth Posterior (DDP) from Single Image and Sparse Range
2019/01/28 by Yanchao Yang, Alex Wong, Yang, Yanchao +3 · 6 citations
Computer Science · Engineering · #Advanced Vision and Imaging #Image Processing Techniques and Applications #Optical measurement and interference techniques
- The Information Complexity of Learning Tasks, their Structure and their\n Distance
2019/04/05 by Alessandro Achille, Achille, Alessandro, Giovanni Paolini +5 · 3 citations
Computer Science · #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
- Leveraging sparse and shared feature activations for disentangled representation learning
2023/04/17 by Marco Fumero, Fumero, Marco, Florian Wenzel +13 · 5 citations
Computer Science · #Digital Media Forensic Detection #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
2020/06/15 by Tong He, John Collomosse, He, Tong +5 · 3 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Human Pose and Action Recognition #Machine Learning (cs.LG)
- THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models
2024/05/08 by Prannay Kaul, Zhizhong Li, Kaul, Prannay +11 · 6 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG)
- B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory
2024/07/08 by Luca Zancato, Zancato, Luca, Arjun Seshadri +15 · 7 citations
Engineering · #Modular Robots and Swarm Intelligence
- Tangent Model Composition for Ensembling and Continual Fine-tuning
2023/07/16 by Tian Yu Liu, Stefano Soatto, Liu, Tian Yu +1 · 4 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning in Healthcare #Explainable Artificial Intelligence (XAI)
- Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
2017/11/20 by Kensuke Nakamura, Stefano Soatto, Nakamura, Kensuke +3 · 2 citations
Computer Science · #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
- Learning Topology from Synthetic Data for Unsupervised Depth Completion
2021/06/06 by Alex Wong, Safa Cicek, Wong, Alex +3 · 3 citations
Computer Science · Environmental Science · #Advanced Vision and Imaging #Remote Sensing and LiDAR Applications #Optical measurement and interference techniques
- Fewer Truncations Improve Language Modeling
2024/04/16 by Hantian Ding, Ding, Hantian, Zijian Wang +11 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Taming AI Bots: Controllability of Neural States in Large Language Models
2023/05/29 by Stefano Soatto, Paulo Tabuada, Soatto, Stefano +5 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Explainable Artificial Intelligence (XAI)
- Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
2024/06/12 by Benjamin Biggs, Biggs, Benjamin, Arjun Seshadri +15 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing
- Stereoscopic Universal Perturbations across Different Architectures and Datasets
2021/12/12 by Zachary Berger, Parth Agrawal, Berger, Zachary +7 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Machine Learning (cs.LG)
- Meaning Representations from Trajectories in Autoregressive Models
2023/10/23 by Tian Yu Liu, Liu, Tian Yu, Matthew Trager +9 · 3 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
- Class-Incremental Learning with Strong Pre-trained Models
2022/04/07 by Tz-Ying Wu, Wu, Tz-Ying, Gurumurthy Swaminathan +11 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Classification and Recognition of Dynamical Models: The Role of Phase, Independent Components, Kernels and Optimal Transport
2007/09/17 by Alessandro Bissacco, Alessandro Chiuso, Stefano Soatto · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Time Series Analysis and Forecasting #Neural Networks and Applications
- Robustness of classifiers to universal perturbations: a geometric\n perspective
2017/05/26 by Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Moosavi-Dezfooli, Seyed-Mohsen +7 · 3 citations
Computer Science · Engineering · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis #Traumatic Brain Injury and Neurovascular Disturbances
- RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions
2024/10/03 by Ziyao Zeng, Yangchao Wu, Zeng, Ziyao +15 · 5 citations
Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Domain-Size Pooling in Local Descriptors: DSP-SIFT
2014/12/30 by Jingming Dong, Stefano Soatto, Dong, Jingming +1 · 1 citation
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Robotics and Sensor-Based Localization #Domain Adaptation and Few-Shot Learning
- AI Agents as Universal Task Solvers
2025/10/14 by Alessandro Achille, Stefano Soatto, Achille, Alessandro +1 · 1 voice · 2 citations
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Reinforcement Learning in Robotics
- Critical Learning Periods Emerge Even in Deep Linear Networks
2023/08/23 by Michael Kleinman, Kleinman, Michael, Alessandro Achille +3 · 2 citations
Neuroscience · Computer Science · Engineering · #Neural dynamics and brain function #Neural Networks and Applications #Advanced Memory and Neural Computing
- Predicting Training Time Without Training
2020/08/28 by Luca Zancato, Alessandro Achille, Zancato, Luca +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models
2024/12/17 by Elvis Nunez, Luca Zancato, Nunez, Elvis +9 · 3 citations
Computer Science · #Cellular Automata and Applications #Algorithms and Data Compression
- DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images
2017/11/26 by Jameson Merkow, Merkow, Jameson, Robert Lufkin +9 · 1 voice
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
- On Leave-One-Out Conditional Mutual Information For Generalization
2022/07/01 by Mohamad Rida Rammal, Rammal, Mohamad Rida, Alessandro Achille +7 · 1 citation
Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Neural Networks and Applications
- Semi-supervised Vision Transformers at Scale
2022/08/11 by Zhaowei Cai, Avinash Ravichandran, Cai, Zhaowei +13 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Infrared Target Detection Methodologies #Machine Learning (cs.LG) #Visual Attention and Saliency Detection
- Detachable Object Detection: Segmentation and Depth Ordering From\n Short-Baseline Video
2011/09/21 by Alper Ayvacı, Stefano Soatto, Ayvaci, Alper +1 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Visual Attention and Saliency Detection #Advanced Neural Network Applications
- AI Model Disgorgement: Methods and Choices
2023/04/07 by Alessandro Achille, Michael Kearns, Achille, Alessandro +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Tangent Transformers for Composition, Privacy and Removal
2023/07/16 by Tian Yu Liu, Aditya Golatkar, Liu, Tian Yu +3 · 1 citation
Computer Science · Neuroscience · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural dynamics and brain function #Visual perception and processing mechanisms
- Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
2024/05/22 by Tian Yu Liu, Stefano Soatto, Liu, Tian Yu +7 · 1 citation
Computer Science · #Topic Modeling
- NeRF-Insert: 3D Local Editing with Multimodal Control Signals
2024/04/30 by Benet Oriol Sàbat, Alessandro Achille, Sabat, Benet Oriol +5 · 1 citation
Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Modular Robots and Swarm Intelligence
- Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
2025/11/03 by Renos Zabounidis, Zabounidis, Renos, Aditya Golatkar +9 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications
- Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression
2025/11/26 by Liangzu Peng, Peng, Liangzu, Luca Zancato +8 · 1 citation
Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Parallel Computing and Optimization Techniques