Georgia Institute of Technology（佐治亚理工学院）

2504.08793 2025-09-09 cs.DC cs.AI math.OC

Constraint Programming Models For Serial Batch Scheduling With Minimum Batch Size

Jorge A. Huertas, Pascal Van Hentenryck

机构 * Georgia Institute of Technology（佐治亚理工学院）

Comments 18 pages, 16 figures

Journal ref Constraint programming models for serial batch scheduling with minimum batch size, Operations Research Perspectives, 2025

2405.13962 2025-09-09 stat.ML cs.LG

Robust Generative Learning with Lipschitz-Regularized $α$-Divergences Allows Minimal Assumptions on Target Distributions

Ziyu Chen, Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu

机构 * Department of Mathematics and Statistics, University of Massachusetts Amherst（数学与统计学系，马萨诸塞大学阿默斯特分校）； School of Mathematics, Georgia Institute of Technology（数学学院，佐治亚理工学院）

2508.20401 2025-09-09 cs.IR cs.LG

Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting

Alexandre Andre, Gauthier Roy, Eva Dyer, Kai Wang

机构 * University of Pennsylvania（宾夕法尼亚大学）； Georgia Institute of Technology（佐治亚理工学院）

Comments In Proceedings of 2nd Workshop on Evaluating and Applying Recommendation Systems with Large Language Models (EARL) at RecSys 2025 (EARL 2025)

2508.17675 2025-09-09 cs.LG

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models

Victoria Yan, Honor Chotkowski, Fengran Wang, Xinhui Li, Carl Yang, Jiaying Lu, Runze Yan, Xiao Hu, Alex Fedorov

机构 * The Westminster Schools（韦斯敏斯特学校）； Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University（数据科学中心、恩莫森护理学院、埃默里大学）； Department of Computer Science, Emory University（计算机科学系、埃默里大学）； School of Electrical and Computer Engineering, Georgia Institute of Technology（电气与计算机工程学院、佐治亚理工学院）

Comments Preprint

2506.15006 2025-09-09 cs.AR cs.AI cs.DC cs.ET cs.PF

Scaling Intelligence: Designing Data Centers for Next-Gen Language Models

Jesmin Jahan Tithi, Hanjiang Wu, Avishaii Abuhatzera, Fabrizio Petrini

机构 * Georgia Institute of Technology（佐治亚理工学院）

Comments 14 pages, submitted to SC25 for review

2502.13394 2025-09-09 cs.LG math.ST stat.ML stat.TH

Flow-based generative models as iterative algorithms in probability space

Yao Xie, Xiuyuan Cheng

机构 * H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at the Georgia Institute of Technology（佐治亚理工学院H.米尔顿·斯图尔特工业与系统工程学院）； Mathematics Department at Duke University（杜克大学数学系）

Comments IEEE Signal Processing Magazine, Special Issue on The Mathematics of Deep Learning, 2025