Learn2Aggregate: Supervised Generation of Chv\'atal-Gomory Cuts Using Graph Neural Networks

Autor: Deza, Arnaud, Khalil, Elias B., Fan, Zhenan, Zhou, Zirui, Zhang, Yong

We present $\textit{Learn2Aggregate}$, a machine learning (ML) framework for optimizing the generation of Chv\'atal-Gomory (CG) cuts in mixed integer linear programming (MILP). The framework trains a graph neural network to classify useful constraint

Externí odkaz: http://arxiv.org/abs/2409.06559

Fast Matrix Multiplication Without Tears: A Constraint Programming Approach

Autor: Deza, Arnaud, Liu, Chang, Vaezipoor, Pashootan, Khalil, Elias B.

It is known that the multiplication of an $N \times M$ matrix with an $M \times P$ matrix can be performed using fewer multiplications than what the naive $NMP$ approach suggests. The most famous instance of this is Strassen's algorithm for multiplyi

Externí odkaz: http://arxiv.org/abs/2306.01097

A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study.

Autor: Brown A; The Edward S Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada., Kumar AT; The Edward S Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada., Melamed O; INTREPID Lab, Centre for Addiction and Mental Health, Toronto, ON, Canada.; Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada., Ahmed I; The Edward S Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada., Wang YH; The Edward S Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada., Deza A; The Edward S Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada., Morcos M; The Edward S Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada., Zhu L; The Edward S Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada., Maslej M; Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada., Minian N; INTREPID Lab, Centre for Addiction and Mental Health, Toronto, ON, Canada.; Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.; Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada., Sujaya V; The Edward S Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada., Wolff J; INTREPID Lab, Centre for Addiction and Mental Health, Toronto, ON, Canada., Doggett O; Faculty of Information, University of Toronto, Toronto, ON, Canada., Iantorno M; Faculty of Information, University of Toronto, Toronto, ON, Canada., Ratto M; Faculty of Information, University of Toronto, Toronto, ON, Canada., Selby P; INTREPID Lab, Centre for Addiction and Mental Health, Toronto, ON, Canada.; Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada., Rose J; The Edward S Rogers Sr Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada.; INTREPID Lab, Centre for Addiction and Mental Health, Toronto, ON, Canada.

Publikováno v: JMIR mental health [JMIR Ment Health] 2023 Oct 17; Vol. 10, pp. e49132. Date of Electronic Publication: 2023 Oct 17.