Andrzej Banburski

发表

A Surprising Linear Relationship Predicts Test Performance in Deep Networks pdf

Tomaso A. Poggio, Brando Miranda, Qianli Liao, 2018, ArXiv.

Dynamics and Neural Collapse in Deep Classifiers trained with the Square Loss

Mengjia Xu, Qianli Liao, Andrzej Banburski, 2021 .

Memo No . 90 March 3 , 2019 Theory III : Dynamics and Generalization in Deep Networks 1

T. Poggio, L. Rosasco, B. Miranda, 2019 .

3 A semi-rigorous theory of the optimization landscape of Deep Nets : Bezout theorem and Boltzman distribution

T. Poggio, B. Miranda, Q. Liao, 2019 .

Memo No . 90 April 11 , 2019 Theory III : Dynamics and Generalization in Deep Networks-a simple solution 1

T. Poggio, B. Miranda, Q. Liao, 2019 .

Memo No . 90 September 8 , 2019 Theory III : Dynamics and Generalization in Deep Networks 1

Fernanda De La Torre, T. Poggio, B. Miranda, 2019 .

No . 90 October 12 , 2019 Theory III : Dynamics and Generalization in Deep Networks 1

Fernanda De La Torre, T. Poggio, B. Miranda, 2019 .

Memo No . 90 July 18 , 2019 Theory III : Dynamics and Generalization in Deep Networks 1

T. Poggio, L. Rosasco, B. Miranda, 2019 .

Memo No . 90 August 6 , 2019 Theory III : Dynamics and Generalization in Deep Networks 1

Fernanda De La Torre, T. Poggio, B. Miranda, 2019 .

Theory IIIb: Generalization in Deep Networks

T. Poggio, X. Boix, B. Miranda, 2018, ArXiv.

Neural-guided, Bidirectional Program Search for Abstraction and Reasoning pdf

Tomaso A. Poggio, Andrzej Banburski, Akshay Rangamani, 2021, COMPLEX NETWORKS.

Deep Classiﬁers trained with the Square Loss

T. Poggio, Q. Liao, Andrzej Banburski, 2022 .

Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN

Andrzej Banburski, Arturo Deza, Jonathan Gant, 2021 .

Dreaming with ARC

T. Poggio, Andrzej Banburski, Simon Alford, 2020 .

An Overview of Some Issues in the Theory of Deep Networks

Tomaso Poggio, Andrzej Banburski, T. Poggio, 2020, IEEJ Transactions on Electrical and Electronic Engineering.

Snyder Momentum Space in Relative Locality

Andrzej Banburski, L. Freidel, 2013, 1308.0300.

Non-local Field Theory from Matrix Models

J. Lanier, Andrzej Banburski, L. Smolin, 2022, 2206.13458.

Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization Bounds

T. Poggio, Q. Liao, Andrzej Banburski, 2023, Research.

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization pdf

Tomaso A. Poggio, Qianli Liao, Andrzej Banburski, 2019, ArXiv.

Theoretical issues in deep networks

Qianli Liao, Andrzej Banburski, Tomaso Poggio, 2020, Proceedings of the National Academy of Sciences.

Twisting loops and global momentum nonconservation in relative locality

Andrzej Banburski, 2013, 1305.7289.

Biologically Inspired Mechanisms for Adversarial Robustness pdf

Andrzej Banburski, Tomaso Poggio, Manish V. Reddy, 2020, NeurIPS.

Pachner moves in a 4D Riemannian holomorphic spin foam model

Andrzej Banburski, Lin-Qing Chen, L. Freidel, 2014, 1412.8247.

Theory IIIb: Generalization in Deep Networks pdf

Tomaso A. Poggio, Brando Miranda, Qianli Liao, 2018, ArXiv.

Theory III: Dynamics and Generalization in Deep Networks pdf

Lorenzo Rosasco, Tomaso A. Poggio, Brando Miranda, 2019, ArXiv.

Cross-validation Stability of Deep Networks

T. Poggio, Andrzej Banburski, Nishka Pant, 2021 .

Towards vertex renormalization in 4d Spin Foams

Andrzej Banburski, 2017 .

Complexity control by gradient descent in deep networks

T. Poggio, Q. Liao, Andrzej Banburski, 2020, Nature Communications.

Distribution of Classification Margins: Are All Data Equal? pdf

Tomaso Poggio, Andrzej Banburski, Nishka Pant, 2021, ArXiv.

Generalization Puzzles in Deep Networks

Lorenzo Rosasco, Brando Miranda, Qianli Liao, 2019 .

Theoretical issues in deep networks

T. Poggio, Q. Liao, Andrzej Banburski, 2019, Proceedings of the National Academy of Sciences.

Complexity control by gradient descent in deep networks

Tomaso Poggio, Qianli Liao, Andrzej Banburski, 2020, Nature Communications.