Tomer Galanti

发表

A Critical View of the Structural Causal Model pdf

Lior Wolf, Tomer Galanti, Ofir Nabati, 2020, ArXiv.

On random kernels of residual architectures

Lior Wolf, Tomer Galanti, Etai Littwin, 2020, UAI.

On the Implicit Bias Towards Minimal Depth of Deep Neural Networks

Tomer Galanti, Liane Galanti, 2022, 2202.09028.

A T heoretical F ramework for D eep T ransfer L earning

Tamir Hazan, Tomer Galanti, 2016 .

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

Bichen Wu, K. Keutzer, M. Tomizuka, 2021, ECCV.

SGD Noise and Implicit Low-Rank Bias in Deep Neural Networks

T. Poggio, Tomer Galanti, 2022, ArXiv.

On the Implicit Bias Towards Minimal Depth of Deep Neural Networks

Tomer Galanti, Liane Galanti, Ido Ben-Shaul, 2022, 2202.09028.

SGD and Weight Decay Provably Induce a Low-Rank Bias in Neural Networks

Zachary S. Siegel, T. Poggio, Tomer Galanti, 2022, 2206.05794.

Generalization Bounds for Transfer Learning with Pretrained Classifiers

Marcus Hutter, Tomer Galanti, Andr'as Gyorgy, 2022, 2212.12532.

Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions

S. Dekel, Tomer Galanti, Ido Ben-Shaul, 2023, ArXiv.

Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer pdf

Lior Wolf, Sagie Benaim, Tomer Galanti, 2018, ICLR.

On Infinite-Width Hypernetworks

Lior Wolf, Greg Yang, Tomer Galanti, 2020, NeurIPS.

On the Optimization Dynamics of Wide Hypernetworks pdf

Lior Wolf, Tomer Galanti, Etai Littwin, 2020, ArXiv.

On the Modularity of Hypernetworks

Tomer Galanti, Lior Wolf, 2020, NeurIPS.

A Formal Approach to Explainability

Lior Wolf, Tamir Hazan, Tomer Galanti, 2019, AIES.

Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs

Lior Wolf, Sagie Benaim, Tomer Galanti, 2018, J. Mach. Learn. Res..

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs pdf

Lior Wolf, Sagie Benaim, Tomer Galanti, 2018, ArXiv.

Norm-based Generalization Bounds for Compositionally Sparse Neural Networks

T. Poggio, Mengjia Xu, Tomer Galanti, 2023, ArXiv.

A theoretical framework for deep transfer learning

Lior Wolf, Tamir Hazan, Tomer Galanti, 2016 .

Comparing the Parameter Complexity of Hypernetworks and the Embedding-Based Alternative pdf

Lior Wolf, Tomer Galanti, Tomer Galanti, 2020, ArXiv.

Appendix: On the Modularity of Hypernetworks

Tomer Galanti, 2020 .

Reverse Engineering Self-Supervised Learning

Yann LeCun, Ravid Shwartz-Ziv, S. Dekel, 2023, ArXiv.

On the Implicit Bias Towards Depth Minimization in Deep Neural Networks

Tomer Galanti, Liane Galanti, Ido Ben-Shaul, 2022 .

On the Role of Neural Collapse in Transfer Learning pdf

Marcus Hutter, Tomer Galanti, Andr'as Gyorgy, 2021, ICLR.

Feature learning in deep classifiers through Intermediate Neural Collapse

T. Poggio, Tomer Galanti, Akshay Rangamani, 2023, ICML.

A Note on the Implicit Bias Towards Minimal Depth of Deep Neural Networks

Tomer Galanti, 2022, ArXiv.

Domain Intersection and Domain Difference

Lior Wolf, Sagie Benaim, Tomer Galanti, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

SGD and Weight Decay Provably Induce a Low-Rank Bias in Neural Networks

Zachary S. Siegel, T. Poggio, Tomer Galanti, 2022, 2206.05794.

On random kernels of residual architectures

Tomer Galanti, Etai Littwin, Lior Wolf, 2020, UAI.

Evaluation Metrics for Conditional Image Generation

Lior Wolf, Sagie Benaim, Yaniv Benny, 2020, International Journal of Computer Vision.

The Probabilistic Stability of Stochastic Gradient Descent

Tomer Galanti, Masakuni Ueda, Botao Li, 2023, ArXiv.

Meta Internal Learning pdf

Lior Wolf, Shir Gur, Tomer Galanti, 2021, NeurIPS.

The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings

Lior Wolf, Sagie Benaim, Tomer Galanti, 2017, ICLR.

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

Bichen Wu, K. Keutzer, M. Tomizuka, 2022 .

Centered Self-Attention Layers

Lior Wolf, Tomer Galanti, Ameen Ali, 2023, ArXiv.

Weakly Supervised Recovery of Semantic Attributes

Lior Wolf, Chaim Baskin, Tomer Galanti, 2021, 2103.11888.

Intersection Regularization for Extracting Semantic Attributes

Tomer Galanti, Chaim Baskin, Ameen Ali, 2021, ArXiv.

Comparative Generalization Bounds for Deep Neural Networks

Tomer Galanti, Liane Galanti, Ido Ben-Shaul, 2023 .

Unsupervised Learning of the Set of Local Maxima pdf

Lior Wolf, Sagie Benaim, Tomer Galanti, 2018, ICLR.

On the Implicit Bias Towards Minimal Depth in Deep Neural Networks

Tomer Galanti, 2022 .

The Probabilistic Stability of Stochastic Gradient Descent

Tomer Galanti, Liu Ziyin, Masakuni Ueda, 2023, ArXiv.

Distributed Speculative Inference of Large Language Models

Tomer Galanti, Daniel Korat, Moshe Wasserblat, 2024, ArXiv.

Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers

Marcus Hutter, Tomer Galanti, Andr'as Gyorgy, 2022, 2212.12532.