基本信息
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职业迁徙
个人简介
I am interested in machine learning and optimization with a particular focus on building tractable probabilistic models for reasoning under uncertainty. Most of my research has focussed on this through the lens of a variety of models including classical methods like probabilistic graphical models, mixture models, and Bayesian inference. Recently, my research has mainly focussed on developing flexible, expressive, and efficient generative models through works on Normalizing Flows, Energy Based Models, Diffusion Models, and Stein Variational Gradient Descent. I am particularly interested in incorporating inductive biases in the form of symmetries through equivariances in probabilistic modelling and applying to downstream tasks like molecular generation and modelling many-body particle systems.
研究兴趣
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ICLR 2024 (2023)
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NeurIPS (2023)
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arxiv(2021)
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