ABSTRACT: An intriguing primitive representation, "expand-and-sparsify", appears in the olfactory system of the fly and the sensory systems of several other organisms. It maps an [...]
ACM AI's Intro to Machine Learning: Advanced Track workshops teach topics such as neural networks and deep learning for students on campus. ACM AI is [...]
ABSTRACT: We define a quantum temporal logic, QTL, for the specification of the concurrent quantum programs. QTL first introduces a concurrent quantum programming model to [...]
ABSTRACT: In this talk, I will talk about principled ways of solving a classical reinforcement learning (RL) problem and introduce its robust variant. In particular, [...]
ACM AI's Intro to Machine Learning: Advanced Track workshops teach topics such as neural networks and deep learning for students on campus. ACM AI is [...]
ABSTRACT: The dominant algorithms for machine learning tasks fall most often in the realm of AI or continuous optimization of intractable problems. We present combinatorial [...]
ABSTRACT: Progress over the past decade in the digitization and analysis of text found in cultural objects (inscriptions, manuscripts, scrolls) has led to new methods [...]
ACM AI's Intro to Machine Learning: Advanced Track workshops teach topics such as neural networks and deep learning for students on campus. ACM AI is [...]
ABSTRACT: What is Data Art? Can a spreadsheet be transformed into a beautiful, emotional visualization able to communicate knowledge/information more deeply than either the dry [...]
ABSTRACT: Extreme Classification (XC) is a new paradigm of machine learning for solving multi-label problems with millions of categories. XC aims to provide practical solutions [...]
ABSTRACT: Anduril was started to disrupt an antiquated approach to defense; and in doing so, save lives, save taxpayer money, and make the military-industrial complex [...]
ABSTRACT: Recent discussion in the public sphere about classification by algorithms has involved tensions between competing notions of what it means for such a classification [...]
ACM AI's Intro to Machine Learning: Advanced Track workshops teach topics such as neural networks and deep learning for students on campus. ACM AI is [...]
Seminar designed to engage all engineering students, primarily those without prior experience, in the process of soliciting, securing, and beginning research.
ABSTRACT: Model based reinforcement learning refers to reinforcement learning methods that explicitly construct and reason with models of the environment of the learning agent. There [...]