Tomer Galanti

Randall Balestriero

CoRR, 2024

Formation of Representations in Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

On the Power of Decision Trees in Auto-Regressive Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Distributed Speculative Inference of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Comparative Generalization Bounds for Deep Neural Networks.

[BibT_eX]

[DOI]

Liane Galanti

Ido Ben-Shaul

Trans. Mach. Learn. Res., 2023

Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions.

[BibT_eX]

[DOI]

Ido Ben-Shaul

Shai Dekel

Trans. Mach. Learn. Res., 2023

Centered Self-Attention Layers.

[BibT_eX]

[DOI]

Ameen Ali

CoRR, 2023

The Probabilistic Stability of Stochastic Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2023

Norm-based Generalization Bounds for Compositionally Sparse Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Norm-based Generalization Bounds for Sparse Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reverse Engineering Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Feature learning in deep classifiers through Intermediate Neural Collapse.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Generalization Bounds for Transfer Learning with Pretrained Classifiers.

[BibT_eX]

[DOI]

András György

Marcus Hutter

CoRR, 2022

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

[BibT_eX]

[DOI]

Tomaso A. Poggio

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

On the Role of Neural Collapse in Transfer Learning.

[BibT_eX]

[DOI]

András György

Marcus Hutter

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Weakly Supervised Discovery of Semantic Attributes.

[BibT_eX]

[DOI]

Ameen Ali

Evgenii Zheltonozhskii

Chaim Baskin

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

On the Emergence of Semantic Structure in Deep Learning

[BibT_eX]

[DOI]

PhD thesis, 2021

Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Evaluation Metrics for Conditional Image Generation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

Intersection Regularization for Extracting Semantic Attributes.

[BibT_eX]

[DOI]

Ameen Ali

Evgeniy Zheltonozhskiy

Chaim Baskin

CoRR, 2021

On random kernels of residual architectures.

[BibT_eX]

[DOI]

Etai Littwin

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Meta Internal Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

On the Optimization Dynamics of Wide Hypernetworks.

[BibT_eX]

[DOI]

Etai Littwin

CoRR, 2020

A Critical View of the Structural Causal Model.

[BibT_eX]

[DOI]

Ofir Nabati

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

On Infinite-Width Hypernetworks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Modularity of Hypernetworks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Unsupervised Learning of the Set of Local Maxima.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Domain Intersection and Domain Difference.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Formal Approach to Explainability.

[BibT_eX]

[DOI]

Tamir Hazan

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Estimating the Success of Unsupervised Image to Image Translation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Maximally Distant Cross Domain Generators for Estimating Per-Sample Error.

[BibT_eX]

[DOI]

CoRR, 2017

Unsupervised Learning of Semantic Mappings.

[BibT_eX]

[DOI]

CoRR, 2017

A Theory of Output-Side Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]