MSRNE Generative Modeling & Sampling Workshop
The goal of the MSR New England Generative Modeling & Sampling Workshop is to foster dialogue across communities working at the intersection of generative modeling, sampling, stochastic control, scientific machine learning, and related areas.
PIDM: Predictive Inverse Dynamic Models
Imitation learning enables agents to learn complex behaviour from demonstrations, but in practice it often requires large datasets that are costly or impractical to collect. Our project studies how to make imitation learning significantly more…
Aurora 1.5: Extending open foundation models for weather and Earth-system applications
Aurora 1.5 adds 22 more variables, hourly temporal resolution, and probabilistic ensemble forecasting to the Aurora foundation model, making it more useful for real-world weather, climate, and energy applications.
Engineering Lead – Extreme Retrieval
Microsoft Research India is seeking a hands-on, ambitious and technically strong individual contributor to lead ML codebase development and build the software engineering platform for a high-impact project specializing in large-scale machine learning for consumer…