activity
20182023
most citedThe Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

7 citations · 15 across the 6 of their papers we have counts for

collaborators

11 papers

cs.AI2023

Fast Matrix Multiplication Without Tears: A Constraint Programming Approach

Arnaud Deza, Chang Liu, Pashootan Vaezipoor +1

It is known that the multiplication of an matrix with an matrix can be performed using fewer multiplications than what the naive approach suggests.…

cs.AI2023

LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams

Rahul Patel, Elias B. Khalil

Approaches based on Binary decision diagrams (BDDs) have recently achieved state-of-the-art results for multiobjective integer programming problems. The variable ordering used in c…

cs.CL2023

LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Yudong Xu, Wenhao Li, Pashootan Vaezipoor +2

Can a Large Language Model (LLM) solve simple abstract reasoning problems? We explore this broad question through a systematic analysis of GPT on the Abstraction and Reasoning Corp…

math.OC2023

Machine Learning for Cutting Planes in Integer Programming: A Survey

Arnaud Deza, Elias B. Khalil

We survey recent work on machine learning (ML) techniques for selecting cutting planes (or cuts) in mixed-integer linear programming (MILP). Despite the availability of various cla…

math.OC2022

Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto

Weimin Huang, Elias B. Khalil

The concept of walkable urban development has gained increased attention due to its public health, economic, and environmental sustainability benefits. Unfortunately, land zoning a…

cs.AI20222 cited

Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus

Yudong Xu, Elias B. Khalil, Scott Sanner

The Abstraction and Reasoning Corpus (ARC) aims at benchmarking the performance of general artificial intelligence algorithms. The ARC's focus on broad generalization and few-shot…