Chaitanya K. Joshi
Chaitanya K. Joshi
Home
Publications
Blog
Contact
CV
Light
Dark
Automatic
Operations Research
Recent Advances in Deep Learning for Routing Problems
We characterize recent advances in deep learning for routing problems via a unified Neural Combinatorial Optimization pipeline and provide new directions to stimulate future research.
(Also published at the inaugural ICLR 2022 Blog Track)
Chaitanya K. Joshi
,
Rishabh Anand
Jan 12, 2022
20 min read
Cite
Slides
Video
ICLR Blog Track
Related Paper
Tweet
Learning TSP Requires Rethinking Generalization
This talk discusses our recent work on deep learning for TSP and the challenge of zero-shot generalization for large-scale and real-world routing problems.
Jun 8, 2021 12:00 AM
CORS 2021 (Host: Dr. Maxime Gasse)
Chaitanya K. Joshi
Slides
Video
Graph Neural Networks for the Travelling Salesman Problem
This talk introduces a recent line of work using Graph Neural Networks to directly ‘learn’ good heuristics for TSP in an end-to-end manner.
Oct 22, 2019 12:00 AM
INFORMS Annual Meeting 2019 (Host: Prof. Quentin Cappart)
Chaitanya K. Joshi
Slides
Neural Combinatorial Optimization
Can Neural Networks learn to solve NP-hard optimization problems in scheduling, transportation, and supply chain directly without human handcrafting?
Chaitanya K. Joshi
Last updated on Dec 24, 2021
4 min read
Cite
×