Abstract: The vehicle routing problem (VRP) is a typical discrete combinatorial optimization problem, and many models and algorithms have been proposed to solve the VRP and its variants. Although ...
Abstract: We study the problem of incorporating risk while making combinatorial decisions under uncertainty. We formulate a discrete submodular maximization problem for selecting a set using ...
A discrete diffusion model for combinatorial optimization. Learns to denoise corrupted tours into near-optimal solutions for the Traveling Salesperson Problem using graph neural networks and a ...
Carnegie Mellon University offers an interdisciplinary Ph.D program in Algorithms, Combinatorics, and Optimization (ACO). This program is the first of its kind in the United States. It is administered ...
Classical computing gave us automation. What's coming next is something closer to a factory that thinks. But getting there requires two technologies converging in a way that many might not fully ...
Hey! I'm a final-year PhD student at Carnegie Mellon University, co-advised by Matt O'Toole and Ioannis Gkioulekas. My research focuses on computational methods for designing geometric optics, where I ...
Taika Waititi’s Sony Pictures adaptation of Ishiguro’s novel hits theaters October 23, 2026, and every technology the book imagined is real. Vision Transformers process images as Klara does — in ...
Most AI transformations aim to generate value, not to learn. The most durable advantage comes from designing learning into ...
Over the past decade, Professor L. Mahadevan's Soft Math Lab at the Harvard John A. Paulson School of Engineering and Applied ...
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Innovist introduces Chemist at Play Hydrating Fluid Sunscreen SPF 60 PA++++, offering lightweight, broad-spectrum protection ...
Google DeepMind released DiffusionGemma on June 10, 2026, an experimental open-weights model that writes text using discrete diffusion rather than the token-by-token method behind GPT-style systems, ...