Vedant Shah

Vedant Shah's work spans machine learning topics including generative image and world models, reinforcement learning (especially multi-agent coordination and training of large language models), causal discovery and imputation, and applied security tasks such as malware detection and intrusion detection. The listed OpenAlex topic scores are all effectively zero, suggesting the automated topic classification may not strongly capture this body of work, but the publication titles indicate a strong focus on AI/machine learning methods and their applications. This body of work would suit students interested in generative modeling, reinforcement learning, and applied ML for security or scientific problems.

Publication output has grown from sporadic single papers before 2020 to a steadier average of about 5 per year over the last five years, with continued activity into 2025 and 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026