Statistics - Machine Learning

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Machine Learning New Method Advances Study of Cell Interactions

Meta Flow Matching enhances our understanding of cell behavior and treatment responses.

Lazar Atanackovic, Xi Zhang, Brandon Amos

2025-06-14T10:36:44+00:00 ― 6 min read

Latest Articles

Computer Science and Game Theory Advancing Multi-Agent Learning through Approximate Symmetry

New methods in multi-agent learning tackle challenges of diverse agents.

Batuhan Yardim, Niao He

2025-06-13T21:15:40+00:00 ― 5 min read

Machine Learning Modeling Slow Changes in Complex Systems

A new method for predicting slow dynamics in multiscale systems using data-driven techniques.

Yuan Chen, Dongbin Xiu

2025-06-13T20:25:36+00:00 ― 6 min read

Computation Generative Bayesian Computation: A New Approach to Decision-Making

A method for better decision-making under uncertainty using innovative computational techniques.

Nick Polson, Fabrizio Ruggeri, Vadim Sokolov

2025-06-13T17:55:24+00:00 ― 5 min read

Machine Learning A New Approach to Spatial Estimation

Combining data-driven methods with expert knowledge improves spatial estimation accuracy.

Cong Zhang, Shuyi Du, Hongqing Song

2025-06-13T07:54:36+00:00 ― 4 min read

Signal Processing Predicting Ionospheric Scintillation for GNSS Reliability

Using machine learning for better GNSS scintillation predictions.

Sultan Halawa, Maryam Alansaari, Maryam Sharif

2025-06-13T07:04:32+00:00 ― 6 min read

Machine Learning Harnessing Transfer Learning for Better Performance

Learn how transfer learning improves machine learning outcomes with limited data.

Steve Hanneke, Samory Kpotufe

2025-06-13T06:14:28+00:00 ― 7 min read

Machine Learning Advancing Dimension Reduction with Conformal Autoencoders

A new method for simplifying high-dimensional data without prior knowledge.

George A. Kevrekidis, Mauro Maggioni, Soledad Villar

2025-06-13T05:24:24+00:00 ― 6 min read

Machine Learning Unsupervised Learning and the Role of Prevalence in Diagnostics

This article examines how prevalence shapes unsupervised learning and classification in diagnostics.

Paul N. Patrone, Raquel A. Binder, Catherine S. Forconi

2025-06-13T04:34:20+00:00 ― 7 min read

Machine Learning Advancements in Generalized Naive Bayes

A look at the Generalized Naive Bayes approach and its impact on data classification.

Edith Alice Kovács, Anna Ország, Dániel Pfeifer

2025-06-13T03:44:16+00:00 ― 5 min read

Signal Processing New Method Enhances Battery Health Estimation

A novel approach improves the accuracy of lithium-ion battery health assessments.

Kate Qi Zhou, Yan Qin, Chau Yuen

2025-06-12T21:03:44+00:00 ― 5 min read

Machine Learning Advancements in Federated Q-Learning Techniques

Exploring efficient algorithms for decentralized learning while preserving data privacy.

Sudeep Salgia, Yuejie Chi

2025-06-12T20:13:40+00:00 ― 5 min read

Machine Learning Advancements in Imaging for Fast Optical Events

New methods enhance detection of quick, small optical events with improved efficiency.

Frank Qiu, Joshua Michalenko, Lilian K. Casias

2025-06-12T19:23:36+00:00 ― 7 min read

Machine Learning A New Method for Analyzing Brain Signals

Introducing p-dLDS: A fresh approach to understanding complex brain activity amidst noise.

Yenho Chen, Noga Mudrik, Kyle A. Johnsen

2025-06-12T18:33:32+00:00 ― 6 min read

Computation and Language Optimizing Language Models: Balancing Good and Bad Examples

Discover new methods to improve language models through balanced learning.

Yi-Lin Tuan, William Yang Wang

2025-06-12T16:53:24+00:00 ― 6 min read

Machine Learning Kernel-Based Divergence for Probability Distributions

A look at kernel Kullback-Leibler divergence and its practical applications.

Clémentine Chazal, Anna Korba, Francis Bach

2025-06-12T16:03:20+00:00 ― 6 min read

Machine Learning Improving Predictive Performance with Conditional Mixture Networks

A new approach enhances prediction speed and accuracy in various fields.

Conor Heins, Hao Wu, Dimitrije Markovic

2025-06-12T15:13:16+00:00 ― 6 min read

Machine Learning Advancements in Sampling Techniques for Molecular Studies

New method improves sampling efficiency using energy functions.

Dongyeop Woo, Sungsoo Ahn

2025-06-12T14:23:12+00:00 ― 5 min read

Machine Learning Causality in Complex Systems: A Modern Approach

Examining the role of higher-order causality in understanding complex systems.

Jakub Kořenek, Pavel Sanda, Jaroslav Hlinka

2025-06-12T13:33:08+00:00 ― 5 min read

Quantum Physics Quantum Computing and Its Impact on Machine Learning Techniques

Exploring how quantum concepts can advance machine learning methods.

David Wakeham, Maria Schuld

2025-06-12T06:52:36+00:00 ― 8 min read

Machine Learning Advancements in Multivariate Distributional Reinforcement Learning

New algorithms improve decision-making with multiple rewards in reinforcement learning.

Harley Wiltzer, Jesse Farebrother, Arthur Gretton

2025-06-12T05:12:28+00:00 ― 5 min read

Applications Addressing Missing Data in Wind Farms

New methods improve data accuracy in wind energy production.

Amandine Pierrot, Pierre Pinson

2025-06-12T04:22:24+00:00 ― 7 min read

Machine Learning Efficiency in Quantized Neural Networks

This study examines performance and conditions for quantized neural networks under fixed-point arithmetic.

Geonho Hwang, Yeachan Park, Sejun Park

2025-06-12T03:32:20+00:00 ― 6 min read

Machine Learning Ensuring Fairness in Graphical Models

This article addresses bias in graphical models and proposes a method for fair analysis.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou

2025-06-12T02:42:16+00:00 ― 6 min read

Machine Learning Bayesian Optimization in Complex Decision-Making

A method to find optimal solutions in uncertain environments with costly evaluations.

Jack M. Buckingham, Ivo Couckuyt, Juergen Branke

2025-06-12T01:52:12+00:00 ― 5 min read

Machine Learning Learning Halfspaces Amid Noisy Labels

A method for learning in challenging conditions with noisy data.

Ilias Diakonikolas, Daniel M. Kane, Sihan Liu

2025-06-12T01:02:08+00:00 ― 6 min read

Machine Learning New Method Clarifies Machine Learning Feature Interactions

A fresh approach enhances understanding of data relationships in machine learning.

Winston Chen, Yifan Jiang, William Stafford Noble

2025-06-12T00:12:04+00:00 ― 7 min read

Machine Learning Reverse Experience Replay: A New Approach in Reinforcement Learning

Exploring Reverse Experience Replay for more efficient learning in reinforcement algorithms.

Nan Jiang, Jinzhao Li, Yexiang Xue

2025-06-11T23:22:00+00:00 ― 8 min read

Machine Learning Improving Fairness in Multi-Output Machine Learning

This paper presents a method to enhance fairness in multi-output machine learning models.

Gang Li, Qihang Lin, Ayush Ghosh

2025-06-11T18:21:36+00:00 ― 6 min read

Computation and Language Advancements in Treatment for Rare Gynecological Tumors

New technologies aim to improve care for patients with rare gynecological cancers.

Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin

2025-06-11T17:31:32+00:00 ― 6 min read

Optimization and Control The Role of Prosumers in Energy Management

Prosumers balance energy supply and demand in Iran's challenging market.

Amir Noori, Babak Tavassoli, Alireza Fereidunian

2025-06-11T16:41:28+00:00 ― 5 min read

Statistics Theory Challenges in Kernel Regression with High-Dimensional Data

A look into kernel regression's challenges and insights in high-dimensional settings.

Weihao Lu, Jialin Ding, Haobo Zhang

2025-06-11T15:01:20+00:00 ― 8 min read

Methodology Analyzing Functional Data Through Directional Regularity

A new method enhances the analysis of functional data by accounting for directionality.

Omar Kassi, Sunny G. W. Wang

2025-06-11T14:11:16+00:00 ― 6 min read

Machine Learning Adapting Kernel Regression for Better Predictions

Examining how flexibility in models enhances predictive accuracy through dynamic adjustments.

Yicheng Li, Qian Lin

2025-06-11T13:21:12+00:00 ― 7 min read

Machine Learning Integrating Physics into Generative Models for Realistic Motion

A new method enhances generative models by integrating physical rules for realistic movement.

Zihan Zhou, Xiaoxue Wang, Tianshu Yu

2025-06-11T12:31:08+00:00 ― 5 min read

Computation Effective Dimensionality Reduction with psvmSDR Package

Explore the psvmSDR package for efficient variable reduction in data analysis.

Jungmin Shin, Seung Jun Shin, Andreas Artemiou

2025-06-11T10:51:00+00:00 ― 5 min read

Computation Optimizing Temperature Selection in Parallel Tempering MCMC

A new method enhances temperature selection for efficient statistical sampling.

Daniel Zhao, Natesh S. Pillai

2025-06-11T08:20:48+00:00 ― 6 min read

Machine Learning Improving Wave Height Predictions with Machine Learning

A new method combines statistical techniques and machine learning for better wave height forecasts.

Zixin Lin, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin

2025-06-11T07:30:44+00:00 ― 6 min read

Machine Learning Advancements in Language Model Training with Inverse Reinforcement Learning

A look into how IRL enhances language model performance and diversity.

Markus Wulfmeier, Michael Bloesch, Nino Vieillard

2025-06-11T05:00:32+00:00 ― 8 min read

Machine Learning Boosting Stability in SGD with Bootstrap Techniques

This paper explores how bootstrap methods enhance stability and robustness in SGD models.

Andreas Christmann, Yunwen Lei

2025-06-11T04:10:28+00:00 ― 5 min read

Machine Learning Advancements in Optimal Sampling for Approximation

An overview of optimal sampling methods in least-squares approximation.

Ben Adcock

2025-06-11T00:00:08+00:00 ― 7 min read