Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. - Aneesh Komanduri; Justin Zhan (ICMLA, 2021)

A Comparative Study of Transformer-Based Language Models on Extractive Question Answering. - Kate Pearce; Tiffany Zhan; Aneesh Komanduri; Justin Zhan (CoRR, 2021)

SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge. - Aneesh Komanduri; Yongkai Wu; Wen Huang 003; Feng Chen 001; Xintao Wu (IEEE Big Data, 2022)

Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. - Aneesh Komanduri; Chen Zhao 010; Feng Chen 001; Xintao Wu (ECAI, 2024)

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. - Aneesh Komanduri; Yongkai Wu; Feng Chen 001; Xintao Wu (IJCAI, 2024)

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling. - Aneesh Komanduri; Xintao Wu; Yongkai Wu; Feng Chen 001 (Trans. Mach. Learn. Res., 2024)

Toward Causal Generative Modeling: From Representation to Generation. - Aneesh Komanduri (AAAI, 2025)

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models. - Aneesh Komanduri; Karuna Bhaila; Xintao Wu (CoRR, 2025)