Publications

(2021). Scalable Variational Approaches for Bayesian Causal Discovery. Neural Information Processing Systems (NeurIPS).

(2021). IQ-Learn: Inverse soft-Q Learning for Imitation. Neural Information Processing Systems (NeurIPS).

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(2020). Flexible Approximate Inference via Stratified Normalizing Flows. Conference on Uncertainty in Artificial Intelligence.

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

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(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.