Mathematics
SIKE in Hardware for IoT
Elliptic curve groups have been a popular choice in the implementation of traditional and post-quantum cryptographic schemes, including Diffie-Hellman type key-exchange protocols and digital signature algorithms. While some of these applications require to perform multidimensional…
Variational Inference for Hierarchical Dynamical Systems
We introduce a flexible, scalable Bayesian inference framework for nonlinear dynamical systems characterised by distinct and hierarchical variability at the individual, group, and population levels.
Foundations of Data Science
Computer science as an academic discipline began in the 1960s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular…
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…
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…
Physics ∩ ML
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…
Deep Policy Gradient Algorithms: A Closer Look
Deep reinforcement learning methods are behind some of the most publicized recent results in machine learning. In spite of these successes, however, deep RL methods face a number of systemic issues: brittleness to small changes…
