(2022). Learning objective-specific active learning strategies with Attentive Neural Processes. Under submission at TMLR.


(2022). E-Valuating Classifier Two-Sample Tests. Under submission at ICML 2023..


(2022). On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. MIDL 2022.

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(2021). Back to Basics: Deep Reinforcement Learning in Traffic Signal Control. UrbComp 2021, Best Paper Award runner-up.

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(2020). Experimental design for MRI by greedy policy search. NeurIPS 2020, Spotlight.

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