Theoretical Deep Learning
(T) Research in deep learning is moving rapidly in every direction: reinforcement and imitation earning for robots, computer vision for self driving cars, graph neural networks for biology, and language […]
Graph Neural Networks (GNNs)
(T) Graphs have recently been “the big thing” for deep learning. There are perfect examples of machine learning applications in the Non-Euclidian space. Graphs have been used to predict friends […]
Causal Inference Use Cases from Technology to Business
(T) I wish I could have an application that would help me to explore the causal relationships of various inputs on an outcome, so that I could play between different […]
Understanding Deep Learning in the Infinite Width Limit
(T) Deep learning systems have achieved impressive results from language understanding, to protein sequencing, and autonomous vehicles. While it has long been known that artificial neural networks can approximate any […]
A New Algorithm for the TSP (Traveling Saleperson)
(E) Quanta Magazine has a new interesting article “Computer Scientists Break Traveling Salesperson Record“. The new record was broken by PhD student Nathan Klein and his advisers from the University […]
Exploring Causal Inference for Business Decisions
(B) I had the great privilege, while being a student at UCLA, to have Professor Judea Pearl as a professor. A few years after I graduated from UCLA, Professor Pearl […]
Quantum-inspired Classical Linear Algebra Algorithms
(T) Erwin Tang, last year at the age of 18 rocked the world of quantum-based algorithms, by has given recently a very interesting talk titled “Quantum-inspired classical linear algebra algorithms: […]
Erwin Tang – Changing the World When You are Only 18 Years Old!
(T) Qantamagazine has a fantastic article about the story of Erwin Tang “Major Quantum Computing Advance Made Obsolete by Teenager.” Long story short, in her paper posted online earlier this […]
A Silicon Valley Insider 