Aneesh Komanduri

Ph.D. student in Computer Science at University of Arkansas

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SAIL Lab (JBHT 345)

227 N Harmon Ave

Fayetteville, AR 72701

I am currently a third year Ph.D. student in the Social Awareness and Intelligent Learning (SAIL) Lab advised by Dr. Xintao Wu. My research interests lie generally in the areas of causal inference, representation learning, and probabilistic generative modeling with applications in explainable and trustworthy AI.

Previously, I recieved my B.S. in Computer Science, Computer Engineering, and Applied Mathematics from the University of Arkansas. My past research experience includes nonnegative matrix factorizations for clustering, Bayesian graph machine learning, and natural language processing. I was also a lead research mentor for the Army Educational Outreach Program (AEOP) UNITE program where I taught research methodologies in data science and machine learning to high school students from underrepresented communities.

Feel free to reach out to me if you want to talk about anything causality or generative AI!

News

Apr 16, 2024 Our paper Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms was accepted at IJCAI 2024!
Apr 8, 2024 One paper accepted by 2024 CVPR Workshop on Generative Models for Computer Vision!
Oct 27, 2023 One paper accepted at NeurIPS 2023 Workshop on Causal Representation Learning (CRL@NeurIPS)!
Oct 17, 2023 Check out our new survey From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling posted to arXiv!
Jun 2, 2023 New arXiv preprint out!