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ORCIDAndrzej Banburski-Fahey
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2020 – today
- 2024
[c8]Fernanda De La Torre
, Cathy Mengying Fang, Han Huang, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier:
LLMR: Real-time Prompting of Interactive Worlds using Large Language Models. CHI 2024: 600:1-600:22- [c7]Weijia Xu, Andrzej Banburski, Nebojsa Jojic:
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. ICML 2024 - 2023
- [i13]Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic:
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. CoRR abs/2305.09993 (2023) - [i12]Fernanda De La Torre, Cathy Mengying Fang, Han Huang, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier:
LLMR: Real-time Prompting of Interactive Worlds using Large Language Models. CoRR abs/2309.12276 (2023) - [i11]Han Huang, Fernanda De La Torre, Cathy Mengying Fang, Andrzej Banburski-Fahey, Judith Amores, Jaron Lanier:
Real-time Animation Generation and Control on Rigged Models via Large Language Models. CoRR abs/2310.17838 (2023) - 2022
- [c6]Dagen Braun, Matthew D. Reisman, Larry Dewell, Andrzej Banburski-Fahey, Arturo Deza, Tomaso A. Poggio:
Achieving Adversarial Robustness in Deep Learning-Based Overhead Imaging. AIPR 2022: 1-7 - [c5]Akshay Rangamani, Andrzej Banburski-Fahey:
Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay. ICASSP 2022: 4243-4247 - [i10]Jasmine Roberts, Andrzej Banburski-Fahey, Jaron Lanier:
Steps towards prompt-based creation of virtual worlds. CoRR abs/2211.05875 (2022) - 2021
- [c4]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: 657-668 - [i9]Andrzej Banburski, Fernanda De La Torre, Nishka Pant, Ishana Shastri, Tomaso A. Poggio:
Distribution of Classification Margins: Are All Data Equal? CoRR abs/2107.10199 (2021) - [i8]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. CoRR abs/2110.11536 (2021) - 2020
- [c3]Alexandra Proca, Andrzej Banburski, Tomaso A. Poggio:
Cross-Domain Adversarial Reprogramming of a Recurrent Neural Network. CogSci 2020 - [c2]Manish V. Reddy, Andrzej Banburski, Nishka Pant, Tomaso A. Poggio:
Biologically Inspired Mechanisms for Adversarial Robustness. NeurIPS 2020 - [i7]Arturo Deza, Qianli Liao, Andrzej Banburski, Tomaso A. Poggio:
Hierarchically Local Tasks and Deep Convolutional Networks. CoRR abs/2006.13915 (2020) - [i6]Manish V. Reddy, Andrzej Banburski, Nishka Pant, Tomaso A. Poggio:
Biologically Inspired Mechanisms for Adversarial Robustness. CoRR abs/2006.16427 (2020)
2010 – 2019
- 2019
- [i5]Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso A. Poggio:
Theory III: Dynamics and Generalization in Deep Networks. CoRR abs/1903.04991 (2019) - [i4]Tomaso A. Poggio, Andrzej Banburski, Qianli Liao:
Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization. CoRR abs/1908.09375 (2019) - [i3]Tomaso A. Poggio, Gil Kur, Andrzej Banburski:
Double descent in the condition number. CoRR abs/1912.06190 (2019) - 2018
- [i2]Tomaso A. Poggio, Qianli Liao, Brando Miranda, Andrzej Banburski, Xavier Boix, Jack Hidary:
Theory IIIb: Generalization in Deep Networks. CoRR abs/1806.11379 (2018) - [i1]Qianli Liao, Brando Miranda, Andrzej Banburski, Jack Hidary, Tomaso A. Poggio:
A Surprising Linear Relationship Predicts Test Performance in Deep Networks. CoRR abs/1807.09659 (2018) - 2016
- [c1]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: 141-146
Coauthor Index
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