Andrzej Banburski

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 13

Top Topics

Center Surround

Biologically Inspired

Condition Numbers

Top Venues

COMPLEX NETWORKS

Publications

Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Sang Peter Chin
Neural-guided, Bidirectional Program Search for Abstraction and Reasoning. CoRR (2021)
Andrzej Banburski, Fernanda De La Torre, Nishka Pant, Ishana Shastri, Tomaso A. Poggio
Distribution of Classification Margins: Are All Data Equal? CoRR (2021)
Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin
Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning. COMPLEX NETWORKS (2021)
Manish V. Reddy, Andrzej Banburski, Nishka Pant, Tomaso A. Poggio
Biologically Inspired Mechanisms for Adversarial Robustness. CoRR (2020)
Alexandra Proca, Andrzej Banburski, Tomaso A. Poggio
Cross-Domain Adversarial Reprogramming of a Recurrent Neural Network. CogSci (2020)
Arturo Deza, Qianli Liao, Andrzej Banburski, Tomaso A. Poggio
Hierarchically Local Tasks and Deep Convolutional Networks. CoRR (2020)
Manish V. Reddy, Andrzej Banburski, Nishka Pant, Tomaso A. Poggio
Biologically Inspired Mechanisms for Adversarial Robustness. NeurIPS (2020)
Tomaso A. Poggio, Gil Kur, Andrzej Banburski
Double descent in the condition number. CoRR (2019)
Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso A. Poggio
Theory III: Dynamics and Generalization in Deep Networks. CoRR (2019)
Tomaso A. Poggio, Andrzej Banburski, Qianli Liao
Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization. CoRR (2019)
Tomaso A. Poggio, Qianli Liao, Brando Miranda, Andrzej Banburski, Xavier Boix, Jack Hidary
Theory IIIb: Generalization in Deep Networks. CoRR (2018)
Qianli Liao, Brando Miranda, Andrzej Banburski, Jack Hidary, Tomaso A. Poggio
A Surprising Linear Relationship Predicts Test Performance in Deep Networks. CoRR (2018)
Jaron Lanier, Victor A. Mateevitsi, Kishore Rathinavel, Lior Shapira, Joseph Menke, Patrick Therien, Joshua Hudman, Gheric Speiginer, Andrea Stevenson Won, Andrzej Banburski, Xavier Benavides, Judith Amores, Javier Porras Lurashi, Wayne Chang
The RealityMashers: Augmented Reality Wide Field-of-View Optical See-Through Head Mounted Displays. ISMAR Adjunct (2016)