Algorithms
Physics ∩ ML Workshop (Day 2): Combinatorial Cosmology Plenary
The goal of Physics ∩ ML is to bring together researchers from machine learning and physics to learn from each other and push research forward together. In this inaugural edition, we will especially highlight some…
Physics ∩ ML Workshop (Day 2): Short Talks and Discussions
The goal of Physics ∩ ML is to bring together researchers from machine learning and physics to learn from each other and push research forward together. In this inaugural edition, we will especially highlight some…
Scaling Write-Intensive Key-Value Stores
In recent years, the log-structured merge-tree (LSM-tree) has become the mainstream core data structure used by key-value stores to ingest and persist data quickly. LSM-tree enables fast writes by buffering incoming data in memory and…
Physics ∩ ML Workshop (Day 1): ML Applied to String Theory and ML Applied to Condensed Matter
The goal of Physics ∩ ML is to bring together researchers from machine learning and physics to learn from each other and push research forward together. In this inaugural edition, we will especially highlight some…
Physics ∩ ML Workshop (Day 1): Short Talks
The goal of Physics ∩ ML is to bring together researchers from machine learning and physics to learn from each other and push research forward together. In this inaugural edition, we will especially highlight some…
An Optimization-Based Theory of Mind for Human-Robot Interaction
Generating robot action for interaction with people is not scalable without learning, but learning from scratch has too high sample complexity. Inductive bias becomes critical, but what is the right inductive bias when it comes…
