Keynote talk at AIMLSys'25; Work on using learnable memories via Hopfield networks accepted at NeurIPS 2025; Joint work with IIT-H and Microsoft Research India on teaching transformers causal reasoning through axiomatic training accepted at ICML 2025; Analysis of Vision-Language Models capabilities accepted at ACL 2025; Two papers accepted at CVPR 2025; Causal order being the medium for using LLMs in causal inference accepted at ICLR 2025; Training concept-based models in continual learning settings with transformer architectures accepted at AAAI 2025; Special Issue on Visual Domain Generalization in Real-World Applications in IJCV is accepting submissions; Work on aligning prompts with semantic attributes in VLMs accepted at TMLR; Detecting and measuring confounding using causal mechanism shifts accepted at NeurIPS 2024; Coordinating AI CoE efforts at IIT-Hyderabad; Recognized as one of the Best Reviewers at ICML 2024; Sai Srinivas K receives the Microsoft Research India PhD Award 2024; Two papers accepted at ECCV 2024.
Research Experience
Professor, Department of Computer Science and Engineering; Affiliate Faculty, Department of Artificial Intelligence; Fellow, Indian National Academy of Engineering.
Background
Research Interests: Deep/Machine Learning, Computer Vision, Multimodal Foundation Models, Reasoning, Explainable AI. Currently on long leave from IIT-H, working at Microsoft Research India.