In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

In modern logistics, combining traditional trucks with drones can significantly reduce delivery times. The truck acts as a moving launchpad, performing deliveries ...

Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...

The embedding of complex networks into metric spaces has emerged as a prominent area of research, accompanied by a diverse array of proposed methodologies. Low-dimensional hyperbolic spaces provide a ...

Phi-4-reasoning is a 14-billion parameter model specialized in complex reasoning tasks. It is trained using supervised finetuning (SFT) on diverse prompts and reasoning demonstrations from o3-mini.

Weixian Waylon Li, Yftah Ziser, Yifei Xie, Shay B. Cohen, and Tiejun Ma. 2025. TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model. In Proceedings of the 31st ACM ...

In this article I provide a three (3) known programming interview questions each from Google, Amazon, Microsoft, and Netflix and seven (7) from miscellaneous interviews I've been on. Each is answered ...

We introduce a method for solving a quadratic unconstrained binary optimization (QUBO) with the two-way one-hot constraints by dividing the QUBO into parts and solving it with an Ising machine. The ...

Abstract: Traveling salesman problem (TSP) is a problem of determining the shortest path for a salesman to take to visit all cities. Although a small number of cities is easy to solve, as the number ...

Picture this: A weary salesperson juggling a multitude of client meetings, crisscrossing cities, and spending countless hours on the road. The life of a traveling salesperson is challenging, with time ...