Publications

Mohammad Taufeeque, Stefan Heimersheim, Adam Gleave, Chris Cundy (2026). The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes. Preprint.

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Jordan Taylor, Sid Black, Dillon Bowen, Thomas Read, Satvik Golechha, Alex Zelenka-Martin, Oliver Makins, Connor Kissane, Kola Ayonrinde, Jacob Merizian, Samuel Marks, Chris Cundy, Joseph Bloom (2025). Auditing Games for Sandbagging. Technical Report.

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

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

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

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

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Kristy Choi, Chris Cundy, Sanjari Srivasta, Stefano Ermon (2022). LMPriors: Pre-Trained Language Models as Task-Specific Priors. First Workshop on Foundation Models for Decision Making, Neurips 2022.

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Chris Cundy, Aditya Grover, Stefano Ermon (2021). Scalable Variational Approaches for Bayesian Causal Discovery. Neural Information Processing Systems (NeurIPS).

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

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

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Chris Cundy, Stefano Ermon (2020). Flexible Approximate Inference via Stratified Normalizing Flows. Conference on Uncertainty in Artificial Intelligence (UAI).

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Eric Martin, Chris Cundy (2018). Parallelizing linear recurrent neural nets over sequence length. International Conference on Learning Representations (ICLR).

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Chris Cundy, Daniel Filan (2018). Exploring hierarchy-aware inverse reinforcement learning. First Workshop on Goal Specifications for Reinforcement Learning, ICML 2018.

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Chris Cundy (2017). Investigating Variational Gaussian Process State-Space Models. Master’s Thesis.

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Rebecca Ward, Ruchi Choudhary, Christopher Cundy, George Johnson, Allan McRobie (2015). Simulation of plants in buildings; incorporating plant-Air interactions in building energy simulation. 14th International Conference of IBPSA-Building Simulation 2015, BS 2015, Conference Proceedings.

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