Gal Vardi

1. Reconstructing Training Data from Trained Neural Networks
   2022/06/15 by Niv Haim, Haim, Niv, Gal Vardi +7 · 3 voices · 5 citations
   Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #cs.CR #cs.CV #cs.LG #cs.NE #stat.ML
2. On the Implicit Bias in Deep-Learning Algorithms
   2022/08/26 by Gal Vardi, Vardi, Gal · 13 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
3. Approaching Deep Learning through the Spectral Dynamics of Weights
   2024/08/21 by David Yunis, Kumar Kshitij Patel, Yunis, David +14 · 2 voices · 7 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques #cs.AI #cs.LG
4. On the Optimal Memorization Power of ReLU Neural Networks
   2021/10/07 by Gal Vardi, Gilad Yehudai, Vardi, Gal +3 · 5 citations
   Computer Science · #Neural Networks and Applications #Stochastic Gradient Optimization Techniques #Machine Learning and ELM
5. From Local Pseudorandom Generators to Hardness of Learning
   2021/01/20 by Amit Daniely, Daniely, Amit, Gal Vardi +1 · 3 citations
   Computer Science · Engineering · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
6. Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
   2023/10/04 by Zhiwei Xu, Yutong Wang, Xu, Zhiwei +7 · 3 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Face and Expression Recognition #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
   2023/03/01 by Odelia Melamed, Melamed, Odelia, Gilad Yehudai +3 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
8. Hardness of Learning Neural Networks with Natural Weights
   2020/06/05 by Amit Daniely, Daniely, Amit, Gal Vardi +1 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
9. Learning a Single Neuron with Bias Using Gradient Descent
   2021/06/02 by Gal Vardi, Gilad Yehudai, Vardi, Gal +3 · 1 citation
   Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
10. Benign Overfitting in Single-Head Attention
    2024/10/10 by Roey Magen, Magen, Roey, Shuning Shang +9 · 2 citations
    Neuroscience · Psychology · #Neural and Behavioral Psychology Studies #Psychological and Educational Research Studies #Visual and Cognitive Learning Processes
11. Provable Privacy Attacks on Trained Shallow Neural Networks
    2024/10/10 by Guy Smorodinsky, Smorodinsky, Guy, Gal Vardi +3 · 3 citations
    Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #Brain Tumor Detection and Classification #Privacy-Preserving Technologies in Data
12. A Theory of Learning with Autoregressive Chain of Thought
    2025/03/11 by Nirmit Joshi, Gal Vardi, Joshi, Nirmit +11 · 3 citations
    Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Computational Complexity (cs.CC) #Education and Critical Thinking Development #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
    2023/03/02 by Spencer Frei, Frei, Spencer, Gal Vardi +5 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. Noisy Interpolation Learning with Shallow Univariate ReLU Networks
    2023/07/28 by Nirmit Joshi, Gal Vardi, Joshi, Nirmit +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications