Towards Reliable Machine Learning (ML) in the Wild
Q1) How can we estimate the population density?
R1) Generative Models
Q2) How can we increase the intelligence of ML?
R2) Agentic AI
Q3) How can we make people trust ML?
R3) Trustworthy AI
R1) Generative Models
Representation Learning in DGMs
Disentanglement and Controllability in DGMs
Robust and Invariant Generative Models
R2) Agentic AI
Agentic AI with Advanced Reasoning Capabilities
Robust and Adaptive Foundation Models
Interactive Decision-Making with Foundation Models
R3) Trustworthy AI
Causal Representation Learning
Bayesian Foundation Models
Mechanistic Interpretability in Foundation Models