Publications

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

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

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).

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

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

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

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.

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

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.