Galanti, Tomer

25 publications

NeurIPS 2025 DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization Gang Li, Ming Lin, Tomer Galanti, Zhengzhong Tu, Tianbao Yang

ICLR 2025 Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon-Kiwkowitz, David Harel

ICLR 2025 Formation of Representations in Neural Networks Liu Ziyin, Isaac L. Chuang, Tomer Galanti, Tomaso A Poggio

CPAL 2025 SGD with Weight Decay Secretly Minimizes the Ranks of Your Neural Networks Tomer Galanti, Zachary S Siegel, Aparna Gupte, Tomaso A Poggio

NeurIPS 2025 Self-Supervised Contrastive Learning Is Approximately Supervised Contrastive Learning Achleshwar Luthra, Tianbao Yang, Tomer Galanti

NeurIPS 2024 On the Power of Decision Trees in Auto-Regressive Language Modeling Yulu Gan, Tomer Galanti, Tomaso Poggio, Eran Malach

NeurIPSW 2024 SGD and Weight Decay Secretly Minimize the Rank of Your Neural Network Tomer Galanti, Zachary S Siegel, Aparna Gupte, Tomaso A Poggio

TMLR 2023 Comparative Generalization Bounds for Deep Neural Networks Tomer Galanti, Liane Galanti, Ido Ben-Shaul

TMLR 2023 Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions Ido Ben-Shaul, Tomer Galanti, Shai Dekel

ICML 2023 Feature Learning in Deep Classifiers Through Intermediate Neural Collapse Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A Poggio

NeurIPS 2023 Norm-Based Generalization Bounds for Sparse Neural Networks Tomer Galanti, Mengjia Xu, Liane Galanti, Tomaso Poggio

NeurIPS 2023 Reverse Engineering Self-Supervised Learning Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun

ECCV 2022 Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

ICMLW 2022 Improved Generalization Bounds for Transfer Learning via Neural Collapse Tomer Galanti, András György, Marcus Hutter

ICLR 2022 On the Role of Neural Collapse in Transfer Learning Tomer Galanti, András György, Marcus Hutter

CLeaR 2022 Weakly Supervised Discovery of Semantic Attributes Ameen Ali Ali, Tomer Galanti, Evgenii Zheltonozhskii, Chaim Baskin, Lior Wolf

NeurIPS 2021 Meta Internal Learning Raphael Bensadoun, Shir Gur, Tomer Galanti, Lior Wolf

UAI 2021 On Random Kernels of Residual Architectures Etai Littwin, Tomer Galanti, Lior Wolf

JMLR 2021 Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs Tomer Galanti, Sagie Benaim, Lior Wolf

NeurIPS 2020 On Infinite-Width Hypernetworks Etai Littwin, Tomer Galanti, Lior Wolf, Greg Yang

NeurIPS 2020 On the Modularity of Hypernetworks Tomer Galanti, Lior Wolf

ICLR 2019 Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf

ICLR 2019 Unsupervised Learning of the Set of Local Maxima Lior Wolf, Sagie Benaim, Tomer Galanti

ECCV 2018 Estimating the Success of Unsupervised Image to Image Translation Sagie Benaim, Tomer Galanti, Lior Wolf

ICLR 2018 The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings Tomer Galanti, Lior Wolf, Sagie Benaim