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 […]
(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 […]
(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 […]
(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 […]
(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 […]
(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 […]
(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 […]
(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: […]
(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 […]