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Tomer Galanti

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
2022 · Chenfeng Xu, Shijia Yang, et al. · Lecture notes in computer science · 66
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On the Role of Neural Collapse in Transfer Learning
2021 · Galanti, Tomer, György, András, et al. · arXiv (Cornell University) · 57
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On the Modularity of Hypernetworks
2020 · Galanti, Tomer, Wolf, Lior · arXiv (Cornell University) · 41
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Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
2020 · Press, Ori, Galanti, Tomer, et al. · arXiv (Cornell University) · 36
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Reverse Engineering Self-Supervised Learning
2023 · Ido Ben-Shaul, Ravid Shwartz-Ziv, et al. · neural information processing systems · 32
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SGD and Weight Decay Secretly Minimize the Rank of Your Neural Network
2022 · Galanti, Tomer, Siegel, Zachary S., et al. · arXiv (Cornell University) · 30
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A theoretical framework for deep transfer learning
2016 · Tomer Galanti, Lior Wolf, et al. · Information and Inference A Journal of the IMA · 30
Domain Intersection and Domain Difference
2019 · Sagie Benaim, Michael Khaitov, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 24
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The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
2017 · Galanti, Tomer, Wolf, Lior, et al. · arXiv (Cornell University) · 24
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A Formal Approach to Explainability
2019 · Lior Wolf, Tomer Galanti, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 22
On the Implicit Bias Towards Minimal Depth of Deep Neural Networks
2022 · Galanti, Tomer, Galanti, Liane, et al. · arXiv (Cornell University) · 21
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DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
2025 · Gang Li, Ming Lin, et al. · neural information processing systems · 16
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Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers
2022 · Galanti, Tomer, György, András, et al. · arXiv (Cornell University) · 15
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On Infinite-Width Hypernetworks
2020 · Littwin, Etai, Galanti, Tomer, et al. · arXiv (Cornell University) · 13
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Estimating the Success of Unsupervised Image to Image Translation
2018 · Sagie Benaim, Tomer Galanti, et al. · Lecture notes in computer science · 13
Norm-based Generalization Bounds for Compositionally Sparse Neural Networks
2023 · Galanti, Tomer, Xu, Mengjia, et al. · arXiv (Cornell University) · 11
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Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization Bounds
2023 · Mengjia Xu, Akshay Rangamani, et al. · Research · 11
Formation of Representations in Neural Networks
2024 · Ziyin, Liu, Chuang, Isaac, et al. · arXiv (Cornell University) · 10
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Type-II Saddles and Probabilistic Stability of Stochastic Gradient Descent
2023 · Ziyin, Liu, Li, Botao, et al. · arXiv (Cornell University) · 10
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Centered Self-attention Layers
2025 · Ameen Ali, Tomer Galanti, et al. · Lecture notes in computer science · 9
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On the Optimization Dynamics of Wide Hypernetworks.
2020 · Etai Littwin, Tomer Galanti, et al. · 9
A Critical View of the Structural Causal Model
2020 · Galanti, Tomer, Nabati, Ofir, et al. · arXiv (Cornell University) · 8
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Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs
2018 · Galanti, Tomer, Benaim, Sagie, et al. · arXiv (Cornell University) · 8
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Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
2024 · Timor, Nadav, Mamou, Jonathan, et al. · arXiv (Cornell University) · 7
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Unsupervised Learning of the Set of Local Maxima
2020 · Wolf, Lior, Benaim, Sagie, et al. · arXiv (Cornell University) · 7
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Works count: 59
Citation count: 591
H-index: 13
I10-index: 19
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