Aneesh Komanduri

According to our database, Aneesh Komanduri authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cross-Modal Attention Guided Unlearning in Vision-Language Models.

Karuna Bhaila, Aneesh Komanduri, Minh-Hao Van, Xintao Wu

CoRR, October, 2025

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models.

Aneesh Komanduri, Karuna Bhaila, Xintao Wu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Toward Causal Generative Modeling: From Representation to Generation.

Aneesh Komanduri

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling.

Aneesh Komanduri, Xintao Wu, Yongkai Wu, Feng Chen

Trans. Mach. Learn. Res., 2024

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms.

Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models.

Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2022

SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge.

Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Comparative Study of Transformer-Based Language Models on Extractive Question Answering.

Kate Pearce, Tiffany Zhan, Aneesh Komanduri, Justin Zhan

CoRR, 2021

Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks.

Aneesh Komanduri, Justin Zhan

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021