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Andrzej Banburski-Fahey
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2020 – today
- 2024
- [c8]Fernanda De La Torre
, Cathy Mengying Fang
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 - [i15]Amina Kobenova, Cyan DeVeaux, Samyak Parajuli, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier:
Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds. CoRR abs/2410.00274 (2024) - [i14]Sam Earle, Samyak Parajuli, Andrzej Banburski-Fahey:
DreamGarden: A Designer Assistant for Growing Games from a Single Prompt. CoRR abs/2410.01791 (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
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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