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Chris Cundy
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2020 – today
- 2024
- [j2]Gengchen Mai
, Weiming Huang
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10(2): 11 (2024) - [c8]Chris Cundy, Rishi Desai, Stefano Ermon:
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients. AISTATS 2024: 2809-2817 - [c7]Chris Cundy, Stefano Ermon:
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking. ICLR 2024 - 2023
- [j1]Yingjie Hu
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. Int. J. Geogr. Inf. Sci. 37(11): 2289-2318 (2023) - [c6]Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Chris Cundy, Marcus Hutter, Shane Legg, Joel Veness, Pedro A. Ortega:
Neural Networks and the Chomsky Hierarchy. ICLR 2023 - [i10]Gengchen Mai, Weiming Huang
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR abs/2304.06798 (2023) - [i9]Chris Cundy, Stefano Ermon:
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking. CoRR abs/2306.05426 (2023) - [i8]Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph:
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. CoRR abs/2310.09340 (2023) - 2022
- [c5]Gengchen Mai
Towards a foundation model for geospatial artificial intelligence (vision paper). SIGSPATIAL/GIS 2022: 106:1-106:4 - [i7]Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Tim Genewein, Elliot Catt, Kevin Li, Anian Ruoss, Chris Cundy, Joel Veness, Jane X. Wang, Marcus Hutter, Christopher Summerfield, Shane Legg, Pedro A. Ortega:
Beyond Bayes-optimality: meta-learning what you know you don't know. CoRR abs/2209.15618 (2022) - [i6]Kristy Choi, Chris Cundy, Sanjari Srivastava, Stefano Ermon:
LMPriors: Pre-Trained Language Models as Task-Specific Priors. CoRR abs/2210.12530 (2022) - 2021
- [c4]Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon:
IQ-Learn: Inverse soft-Q Learning for Imitation. NeurIPS 2021: 4028-4039 - [c3]Chris Cundy, Aditya Grover, Stefano Ermon:
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery. NeurIPS 2021: 7095-7110 - [i5]Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon:
IQ-Learn: Inverse soft-Q Learning for Imitation. CoRR abs/2106.12142 (2021) - [i4]Chris Cundy, Aditya Grover, Stefano Ermon:
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery. CoRR abs/2112.02761 (2021) - 2020
- [c2]Chris Cundy, Stefano Ermon:
Flexible Approximate Inference via Stratified Normalizing Flows. UAI 2020: 1288-1297 - [i3]Chris Cundy, Stefano Ermon:
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients. CoRR abs/2012.15019 (2020)
2010 – 2019
- 2018
- [c1]Eric Martin, Chris Cundy:
Parallelizing Linear Recurrent Neural Nets Over Sequence Length. ICLR (Poster) 2018 - [i2]Chris Cundy, Daniel Filan:
Exploring Hierarchy-Aware Inverse Reinforcement Learning. CoRR abs/1807.05037 (2018) - 2017
- [i1]Eric Martin, Chris Cundy:
Parallelizing Linear Recurrent Neural Nets Over Sequence Length. CoRR abs/1709.04057 (2017)
Coauthor Index
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