Andrzej Banburski-Fahey

According to our database, Andrzej Banburski-Fahey authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Real-time Animation Generation and Control on Rigged Models via Large Language Models.

Han Huang, Fernanda De La Torre, Cathy Mengying Fang, Andrzej Banburski-Fahey, Judith Amores, Jaron Lanier

CoRR, 2023

LLMR: Real-time Prompting of Interactive Worlds using Large Language Models.

Fernanda De La Torre, Cathy Mengying Fang, Han Huang, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier

CoRR, 2023

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling.

Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic

CoRR, 2023

2022

Steps towards prompt-based creation of virtual worlds.

Jasmine Roberts, Andrzej Banburski-Fahey, Jaron Lanier

CoRR, 2022

Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay.

Akshay Rangamani, Andrzej Banburski-Fahey

Proceedings of the IEEE International Conference on Acoustics, 2022

Achieving Adversarial Robustness in Deep Learning-Based Overhead Imaging.

Dagen Braun, Matthew D. Reisman, Larry Dewell, Andrzej Banburski-Fahey, Arturo Deza, Tomaso A. Poggio

Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2021

Distribution of Classification Margins: Are All Data Equal?

Andrzej Banburski, Fernanda De La Torre, Nishka Pant, Ishana Shastri, Tomaso A. Poggio

CoRR, 2021

Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning.

Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin

Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020

Hierarchically Local Tasks and Deep Convolutional Networks.

Arturo Deza, Qianli Liao, Andrzej Banburski, Tomaso A. Poggio

CoRR, 2020

Biologically Inspired Mechanisms for Adversarial Robustness.

Manish V. Reddy, Andrzej Banburski, Nishka Pant, Tomaso A. Poggio

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

Cross-Domain Adversarial Reprogramming of a Recurrent Neural Network.

Alexandra Proca, Andrzej Banburski, Tomaso A. Poggio

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Double descent in the condition number.

Tomaso A. Poggio, Gil Kur, Andrzej Banburski

CoRR, 2019

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

Tomaso A. Poggio, Andrzej Banburski, Qianli Liao

CoRR, 2019

Theory III: Dynamics and Generalization in Deep Networks.

Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso A. Poggio

CoRR, 2019

2018

A Surprising Linear Relationship Predicts Test Performance in Deep Networks.

Qianli Liao, Brando Miranda, Andrzej Banburski, Jack Hidary, Tomaso A. Poggio

CoRR, 2018

Theory IIIb: Generalization in Deep Networks.

Tomaso A. Poggio, Qianli Liao, Brando Miranda, Andrzej Banburski, Xavier Boix, Jack Hidary

CoRR, 2018

2016

The RealityMashers: Augmented Reality Wide Field-of-View Optical See-Through Head Mounted Displays.

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

Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, 2016