Parallelizing Linear Recurrent Neural Nets Over Sequence Length. - Eric Martin; Chris Cundy (ICLR (Poster), 2018)

Exploring Hierarchy-Aware Inverse Reinforcement Learning. - Chris Cundy; Daniel Filan (CoRR, 2018)

Flexible Approximate Inference via Stratified Normalizing Flows. - Chris Cundy; Stefano Ermon (UAI, 2020)

Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients. - Chris Cundy; Stefano Ermon (CoRR, 2020)

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery. - Chris Cundy; Aditya Grover; Stefano Ermon (NeurIPS, 2021)

IQ-Learn: Inverse soft-Q Learning for Imitation. - Divyansh Garg; Shuvam Chakraborty; Chris Cundy; Jiaming Song; Stefano Ermon (NeurIPS, 2021)

Towards a foundation model for geospatial artificial intelligence (vision paper). - Gengchen Mai; Chris Cundy; Kristy Choi; Yingjie Hu; Ni Lao; Stefano Ermon (SIGSPATIAL/GIS, 2022)

Beyond Bayes-optimality: meta-learning what you know you don't know. - 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; et al. (CoRR, 2022)

LMPriors: Pre-Trained Language Models as Task-Specific Priors. - Kristy Choi; Chris Cundy; Sanjari Srivastava; Stefano Ermon (CoRR, 2022)

Neural Networks and the Chomsky Hierarchy. - 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 (ICLR, 2023)

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. - Gengchen Mai; Weiming Huang 001; Jin Sun 011; Suhang Song; Deepak Mishra 005; Ninghao Liu; Song Gao 001; Tianming Liu 001; Gao Cong; Yingjie Hu; Chris Cundy; Ziyuan Li; et al. (CoRR, 2023)

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. - Yingjie Hu; Gengchen Mai; Chris Cundy; Kristy Choi; Ni Lao; Wei Liu; Gaurish Lakhanpal; Ryan Zhenqi Zhou; Kenneth Joseph (Int. J. Geogr. Inf. Sci., 2023)

Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients. - Chris Cundy; Rishi Desai; Stefano Ermon (AISTATS, 2024)

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking. - Chris Cundy; Stefano Ermon (ICLR, 2024)

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). - Gengchen Mai; Weiming Huang 001; Jin Sun 011; Suhang Song; Deepak Mishra 005; Ninghao Liu; Song Gao 001; Tianming Liu 001; Gao Cong; Yingjie Hu; Chris Cundy; Ziyuan Li; et al. (ACM Trans. Spatial Algorithms Syst., 2024)

KGGen: Extracting Knowledge Graphs from Plain Text with Language Models. - Belinda Mo; Kyssen Yu; Joshua Kazdan; Proud Mpala; Lisa Yu; Chris Cundy; Charilaos I. Kanatsoulis; Sanmi Koyejo (CoRR, 2025)

No, of course I can! Refusal Mechanisms Can Be Exploited Using Harmless Fine-Tuning Data. - Joshua Kazdan; Lisa Yu; Rylan Schaeffer; Chris Cundy; Sanmi Koyejo; Dvijotham Krishnamurthy (CoRR, 2025)

AI Companies Should Report Pre- and Post-Mitigation Safety Evaluations. - Dillon Bowen; Ann-Kathrin Dombrowski; Adam Gleave; Chris Cundy (CoRR, 2025)

Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF. - Syrine Belakaria; Joshua Kazdan; Charles Marx; Chris Cundy; Willie Neiswanger; Sanmi Koyejo; Barbara E. Engelhardt; Stefano Ermon (CoRR, 2025)

Bare Minimum Mitigations for Autonomous AI Development. - Joshua Clymer; Isabella Duan; Chris Cundy; Yawen Duan; Fynn Heide; Chaochao Lu; Sören Mindermann; Conor McGurk; Xudong Pan; Saad Siddiqui; Jingren Wang; Min Yang; et al. (CoRR, 2025)

Preference Learning with Lie Detectors can Induce Honesty or Evasion. - Chris Cundy; Adam Gleave (CoRR, 2025)

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models. - Ann-Kathrin Dombrowski; Dillon Bowen; Adam Gleave; Chris Cundy (CoRR, 2025)