- Optimal Transport-Based Clustering of Attributed Graphs with an Application to Road Traffic Data
2025/12/17 by Gavra, Ioana, Guichard-Sustowski, Ketsia, Marrec, Loïc Le · 1 citation
#62H30 #FOS: Computer and information sciences #G.3 #Methodology (stat.ME)
- Zeroth-order gradient estimators for stochastic problems with decision-dependent distributions
2025/10/28 by Hikima, Yuya, Takeda, Akiko · 1 citation
#65K05 #90C15 #90C30 #FOS: Mathematics #G.1.6 #G.3 #Optimization and Control (math.OC)
- Network-Optimised Spiking Neural Network (NOS) Scheduling for 6G O-RAN: Spectral Margin and Delay-Tail Control
2025/10/13 by Bilal, Muhammad, Xu, Xiaolong · 1 citation
#60K25 #68M10 #68M20 #68T07 #90B18 #93C23 #93D05 #C.2.1 #C.2.3 #C.4 #FOS: Computer and information sciences #G.3 #I.2.6 #I.6.5 #Information Theory (cs.IT) #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI)
- Tuning Random Generators: Property-Based Testing as Probabilistic Programming
2025/08/20 by Tjoa, Ryan, Garg, Poorva, Goldstein, Harrison +3 · 1 citation
#D.2.5 #D.3 #FOS: Computer and information sciences #G.3 #Programming Languages (cs.PL) #Software Engineering (cs.SE)
- FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
2025/07/16 by Bonev, Boris, Kurth, Thorsten, Mahesh, Ankur +7 · 16 citations
#68T07 #86-10 #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #G.3 #I.2.1 #I.6.5 #Machine Learning (cs.LG)
- Replicable Distribution Testing
2025/07/03 by Diakonikolas, Ilias, Gao, Jingyi, Kane, Daniel +2 · 1 citation
#FOS: Computer and information sciences #G.3 #Machine Learning (cs.LG)
- End-to-End Large Portfolio Optimization for Variance Minimization with Neural Networks through Covariance Cleaning
2025/07/02 by Bongiorno, Christian, Manolakis, Efstratios, Mantegna, Rosario Nunzio · 4 citations
#62P05 (Secondary) #91G10 (Primary) 68T07 #91G60 #Artificial Intelligence (cs.AI) #Data Analysis #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #FOS: Physical sciences #G.3 #I.2.6 #I.5.1 #J.4 #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Portfolio Management (q-fin.PM) #Statistics and Probability (physics.data-an)
- The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games
2025/06/18 by Lyle Goodyear, Goodyear, Lyle, Ramesh Johari +2 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #F.1.2 #F.2.2 #FOS: Computer and information sciences #G.3 #I.2.11 #I.6.4 #J.7 #Multi-Agent Systems and Negotiation
- Learning quantum phase transition in parametrized quantum circuits with an attention mechanism
2025/06/07 by Xin, Li, Yin, Zhang-Qi · 1 citation
#68T07 #81P45 #81Q99 #F.1.2 #FOS: Physical sciences #G.3 #I.2.6 #Quantum Physics (quant-ph)
- Optimal Online Change Detection via Random Fourier Features
2025/05/23 by Kalinke, Florian, Gavioli-Akilagun, Shakeel · 1 citation
#46E22 (Secondary) #68W27 (Primary) 62G10 #FOS: Computer and information sciences #G.3 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Generative modelling of multivariate geometric extremes using normalising flows
2025/05/05 by De Monte, Lambert, Huser, Raphaël, Papastathopoulos, Ioannis +1 · 3 citations
#62G32 #FOS: Computer and information sciences #G.3 #Methodology (stat.ME)
- Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm
2025/05/02 by Doerr, Benjamin, Krejca, Martin, Opris, Andre · 1 citation
#68W40 #F.2.2 #FOS: Computer and information sciences #G.3 #Neural and Evolutionary Computing (cs.NE) #Primary: 68W50 #Secondary: 68W20
- Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events
2025/04/16 by François Haguinet, Jeffery L. Painter, Haguinet, François +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Decision Sciences · Pharmacology, Toxicology and Pharmaceutics · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #G.3 #H.3.3 #I.2.4 #Meta-analysis and systematic reviews #Pharmacovigilance and Adverse Drug Reactions
- A Truncated Newton Method for Optimal Transport
2025/04/02 by Kemertas, Mete, Farahmand, Amir-massoud, Jepson, Allan D. · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #G.3 #G.4 #I.4.0 #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Optimization and Control (math.OC)
- Madgraph on GPUs and vector CPUs: towards production (The 5-year journey to the first LO release CUDACPP v1.00.00)
2025/03/27 by Valassi, Andrea, Childers, Taylor, Hageböck, Stephan +7 · 4 citations
#65C05 #81T18 #81V05 #C.1.2 #Computational Physics (physics.comp-ph) #D.1.3 #FOS: Physical sciences #G.3 #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #I.6.8 #J.2
- Hereditary Hsu-Robbins-Erdös Law of Large Numbers
2025/03/25 by Berkes, Istvan, Karatzas, Ioannis, Schachermayer, Walter · 1 citation
#60F15 #60G46 #FOS: Mathematics #G.3 #Primary 60A10 #Probability (math.PR) #Secondary 60G42
- Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise
2025/03/25 by Gruber, Nadja, Schwab, Johannes, Haltmeier, Markus +3 · 1 citation
#92C55 #94A08 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #G.3 #I.2.10 #I.4.4 #I.4.5 #Image and Video Processing (eess.IV) #Optimization and Control (math.OC) #electronic engineering #information engineering
- Scalability Challenges in Variational Quantum Optimization under Stochastic Noise
2025/03/18 by Bärligea, Adelina, Poggel, Benedikt, Lorenz, Jeanette Miriam · 4 citations
#68Q12 #81P68 #90C27 #90C59 #F.1.2 #F.2 #FOS: Physical sciences #G.1.6 #G.3 #Quantum Physics (quant-ph)
- Counterfactual Realizability
2025/03/14 by Raghavan, Arvind, Bareinboim, Elias · 1 citation
#Artificial Intelligence (cs.AI) #F.4.1 #FOS: Computer and information sciences #G.3 #Machine Learning (cs.LG)
- An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models
2025/03/05 by Wang, Binxu, Pehlevan, Cengiz · 1 citation
#60G15 #68T07 #Computer Vision and Pattern Recognition (cs.CV) #F.2.2 #FOS: Computer and information sciences #FOS: Mathematics #G.1.2 #G.3 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- S4M: S4 for multivariate time series forecasting with Missing values
2025/03/02 by Peng, Jing, Yang, Meiqi, Zhang, Qiong +1 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #G.3 #Machine Learning (cs.LG)
- Pauli measurements are not optimal for single-copy tomography
2025/02/25 by Jayadev Acharya, Acharya, Jayadev, Abhilash Dharmavarapu +5 · 6 citations
Engineering · Medicine · Physics and Astronomy · #Advanced MRI Techniques and Applications #Advanced X-ray and CT Imaging #Atomic and Subatomic Physics Research #Computational Complexity (cs.CC) #E.4 #F.2.0 #FOS: Computer and information sciences #FOS: Physical sciences #G.3 #Information Theory (cs.IT) #Quantum Physics (quant-ph)
- Generalized Decision Focused Learning under Imprecise Uncertainty--Theoretical Study
2025/02/25 by Keivan Shariatmadar, Neil Yorke‐Smith, Shariatmadar, Keivan +9 · 1 citation
Decision Sciences · #68T37 90C70 49N30 #F.4 #FOS: Computer and information sciences #FOS: Mathematics #G.3 #Machine Learning (cs.LG) #Multi-Criteria Decision Making #Optimization and Control (math.OC) #Probabilistic and Robust Engineering Design #Probability (math.PR)
- On the computation of the cumulative distribution function of the Normal Inverse Gaussian distribution
2025/02/22 by Guillermo Navas-Palencia, Navas-Palencia, Guillermo · 2 citations
Environmental Science · #33-04 #33F05 #62-08 #Analysis of environmental and stochastic processes #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #G.1 #G.3 #G.4 #Mathematical Software (cs.MS) #Numerical Analysis (math.NA)
- Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
2025/02/09 by Zhang, Xiangcheng, Hong, Yige, Wang, Weina · 1 citation
#90C40 #FOS: Computer and information sciences #FOS: Mathematics #G.3 #I.6 #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Probability (math.PR)
- Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper]
2025/02/03 by Habring, Andreas, Falk, Alexander, Pock, Thomas · 3 citations
#65C05 #65C40 #65C60 #68U10 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #G.3 #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
- Adaptive Approximation Schemes for Matching Queues
2025/01/15 by AmaniHamedani, Alireza, Aouad, Ali, Saberi, Amin · 2 citations
#60K25 (Secondary) #68W27 (Primary) #Data Structures and Algorithms (cs.DS) #F.2 #FOS: Computer and information sciences #G.3
- Modularity of preferential attachment graphs
2025/01/12 by Rybarczyk, Katarzyna, Sulkowska, Małgorzata · 1 citation
#05C80 #60G42 #FOS: Mathematics #G.2.1 #G.2.2 #G.3 #Probability (math.PR)
- MCMC for multi-modal distributions
2025/01/10 by Łatuszyński, Krzysztof, Moores, Matthew T., Stumpf-Fétizon, Timothée · 3 citations
#62-08 #Computation (stat.CO) #FOS: Computer and information sciences #G.3
- Large Language Models for Market Research: A Data-augmentation Approach
2024/12/26 by Wang, Mengxin, Zhang, Dennis J., Zhang, Heng · 6 citations
#62F12 #68T50 #90B60 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #G.3 #I.2.7 #J.4 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
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