Chris Cundy

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Transport Systems

Conditional Mutual Information

Top Venues

Publications

Chris Cundy, Rishi Desai, Stefano Ermon
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients. AISTATS (2024)
Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10 (2) (2024)
Chris Cundy, Stefano Ermon
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking. ICLR (2024)
Chris Cundy, Stefano Ermon
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking. CoRR (2023)
Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR (2023)
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 (2023)
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. Int. J. Geogr. Inf. Sci. 37 (11) (2023)
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)
Kristy Choi, Chris Cundy, Sanjari Srivastava, Stefano Ermon
LMPriors: Pre-Trained Language Models as Task-Specific Priors. CoRR (2022)
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 (2022)
Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, Stefano Ermon
Towards a foundation model for geospatial artificial intelligence (vision paper). SIGSPATIAL/GIS (2022)
Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon
IQ-Learn: Inverse soft-Q Learning for Imitation. NeurIPS (2021)
Chris Cundy, Aditya Grover, Stefano Ermon
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery. NeurIPS (2021)
Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon
IQ-Learn: Inverse soft-Q Learning for Imitation. CoRR (2021)
Chris Cundy, Aditya Grover, Stefano Ermon
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery. CoRR (2021)
Chris Cundy, Stefano Ermon
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients. CoRR (2020)
Chris Cundy, Stefano Ermon
Flexible Approximate Inference via Stratified Normalizing Flows. UAI (2020)
Chris Cundy, Daniel Filan
Exploring Hierarchy-Aware Inverse Reinforcement Learning. CoRR (2018)
Eric Martin, Chris Cundy
Parallelizing Linear Recurrent Neural Nets Over Sequence Length. ICLR (Poster) (2018)
Eric Martin, Chris Cundy
Parallelizing Linear Recurrent Neural Nets Over Sequence Length. CoRR (2017)