Statistics - Machine Learning

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Machine Learning Rethinking Similarity in Neural Networks

A new approach improves understanding of neural network similarities.

András Balogh, Márk Jelasity

2025-02-20T04:44:09+00:00 ― 6 min read

Machine Learning Boosting Efficiency with Prediction-Enhanced Monte Carlo

PEMC combines Monte Carlo simulations with machine learning for faster, accurate results.

Fengpei Li, Haoxian Chen, Jiahe Lin

2025-02-19T23:38:58+00:00 ― 5 min read

Machine Learning Decoding the Secrets of State Space Models

Learn how state space models evolve with deep learning.

Jiahe Lin, George Michailidis

2025-02-19T18:33:47+00:00 ― 7 min read

Machine Learning Simplifying Dynamic Networks: A Deeper Look

Understanding how to analyze ever-changing connections in complex networks.

Haixu Wang, Jiguo Cao, Jian Pei

2025-02-19T03:18:14+00:00 ― 6 min read

Methodology Unraveling Trade Patterns with Multiplex Networks

Using advanced models to analyze international trade relationships and their hidden structures.

Iuliia Promskaia, Adrian O'Hagan, Michael Fop

2025-02-18T17:07:52+00:00 ― 6 min read

Methodology Revolutionizing Patient Care with Surrogate Outcomes

Integrating surrogate outcomes improves individual treatment effect predictions in medical research.

Chenyin Gao, Peter B. Gilbert, Larry Han

2025-02-18T01:52:19+00:00 ― 6 min read

Methodology Navigating Tree-Based Models with Partial Likelihood

Learn how partial likelihood improves tree-based models in data analysis.

Li Ma, Benedetta Bruni

2025-02-17T20:47:08+00:00 ― 7 min read

Machine Learning Revolutionizing Healthcare with Machine Learning Advances

Exploring breakthroughs in machine learning for personalized medicine and improved healthcare outcomes.

Gideon Vos, Liza van Eijk, Zoltan Sarnyai

2025-02-17T15:41:57+00:00 ― 10 min read

Machine Learning BetaExplainer: Shedding Light on GNNs

A new tool clarifies how graph neural networks make predictions.

Whitney Sloneker, Shalin Patel, Michael Wang

2025-02-17T10:36:46+00:00 ― 7 min read

Machine Learning Surrogate Models: Simplifying Complex Predictions

Learn how surrogate models help make sense of complex data.

Philipp Reiser, Paul-Christian Bürkner, Anneli Guthke

2025-02-17T05:31:35+00:00 ― 7 min read

Machine Learning Anomaly Detection: Keeping Systems on Track

Learn how anomaly detection safeguards complex systems and enhances efficiency.

Mulugeta Weldezgina Asres, Christian Walter Omlin, The CMS-HCAL Collaboration

2025-02-16T19:21:13+00:00 ― 6 min read

Machine Learning Reinforcement Learning: A Deep Dive

Explore how agents learn to make decisions through reinforcement learning.

Shreya Sinha Roy, Richard G. Everitt, Christian P. Robert

2025-02-16T09:10:51+00:00 ― 7 min read

Machine Learning New Method Boosts Biological Data Analysis

A novel framework improves understanding of complex biological systems using multi-omics data.

Sungdong Lee, Joshua Bang, Youngrae Kim

2025-02-16T04:05:40+00:00 ― 6 min read

Machine Learning Revolutionizing Treatment Effect Measurement

A new method for combining patient data to measure treatment effects effectively.

Yuxin Wang, Maresa Schröder, Dennis Frauen

2025-02-15T23:00:29+00:00 ― 6 min read

Machine Learning Revolutionizing Out-of-Distribution Detection in Machine Learning

A new framework to enhance out-of-distribution data detection.

Yutian Lei, Luping Ji, Pei Liu

2025-02-15T17:55:18+00:00 ― 5 min read

Machine Learning Mastering Small Language Models: Fine-Tuning Guide

Learn how to effectively fine-tune small language models with practical strategies.

Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang

2025-02-14T01:13:50+00:00 ― 6 min read

Machine Learning The Rise of Posterior Mean Matching

Discover how PMM empowers machines in creativity and data generation.

Sebastian Salazar, Michal Kucer, Yixin Wang

2025-02-13T20:08:39+00:00 ― 7 min read

Econometrics Decoding Machine Learning Predictions in Economics

Learn how machine learning helps interpret economic forecasts using history.

Philippe Goulet Coulombe, Maximilian Goebel, Karin Klieber

2025-02-13T09:58:17+00:00 ― 7 min read

Machine Learning Improving Machine Learning with Importance Sampling

Learn how importance sampling addresses data mismatches in machine learning.

Hongyu Shen, Zhizhen Zhao

2025-02-13T04:53:06+00:00 ― 6 min read

Machine Learning Revolutionizing Cake Recipes with Smart Algorithms

Advanced methods are changing how we optimize complex recipes.

Lam Ngo, Huong Ha, Jeffrey Chan

2025-02-12T23:47:55+00:00 ― 7 min read

Machine Learning Detecting Harmful Shifts in Machine Learning Models

A new approach to identify data shifts without requiring labels.

Salim I. Amoukou, Tom Bewley, Saumitra Mishra

2025-02-12T18:42:44+00:00 ― 7 min read

Applications The Impact of Missing Data on Research

Missing data can mislead conclusions in studies, affecting outcomes and decisions.

Jakob Schwerter, Andrés Romero, Florian Dumpert

2025-02-11T17:16:49+00:00 ― 6 min read

Neurons and Cognition Harmony in Neural Signals: A New Approach

Scientists unveil a method to measure the uniqueness of neural activities.

Amin Nejatbakhsh, Victor Geadah, Alex H. Williams

2025-02-11T12:11:38+00:00 ― 5 min read

Dynamical Systems Harnessing Ensemble Kalman Filters for Better Predictions

Discover how ensemble Kalman filters improve predictions in chaotic systems.

Daniel Sanz-Alonso, Nathan Waniorek

2025-02-10T15:50:54+00:00 ― 6 min read

Optimization and Control Mastering Optimization: Your Guide to Finding the Best Solutions

Learn how to optimize resources and make better decisions in various scenarios.

Guanghui Lan, Tianjiao Li, Yangyang Xu

2025-02-10T10:45:43+00:00 ― 6 min read

Machine Learning FedSTaS: The Future of Federated Learning

FedSTaS improves collaboration in federated learning while protecting data privacy.

Jordan Slessor, Dezheng Kong, Xiaofen Tang

2025-02-10T05:40:32+00:00 ― 7 min read

Machine Learning Meet jinns: The Game Changer for Neural Networks

jinns enhances physics-informed neural networks for diverse real-world applications.

Hugo Gangloff, Nicolas Jouvin

2025-02-09T19:30:10+00:00 ― 7 min read

Machine Learning Classifying Nodes: A Semi-Supervised Approach

Learn how limited information aids in node classification using semi-supervised learning.

Hai-Xiao Wang, Zhichao Wang

2025-02-09T14:24:59+00:00 ― 6 min read

Optimization and Control Optimizing Algorithms: The Path to Efficiency

Discover the evolution and impact of optimization algorithms in various fields.

Mingwei Fu, Bin Shi

2025-02-09T09:19:48+00:00 ― 7 min read

Methodology Tackling Missing Data in Leaf Research

Learn how joint models handle missing data in leaf photosynthesis analysis.

Yong Chen Goh, Wuu Kuang Soh, Andrew C. Parnell

2025-02-08T07:53:53+00:00 ― 7 min read

Machine Learning Predicting Neural Network Performance with Architecture Insights

A new method predicts learning curves based on neural network architecture.

Yanna Ding, Zijie Huang, Xiao Shou

2025-02-07T16:38:20+00:00 ― 8 min read

Machine Learning Unpacking Graph Attention Networks: When Less is More

Discover when Graph Attention Networks shine and when simpler methods prevail.

Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou

2025-02-07T11:33:09+00:00 ― 5 min read

Machine Learning DropPatch: Transforming Time-Series Analysis

DropPatch enhances time-series forecasting through innovative masking techniques.

Tianyu Qiu, Yi Xie, Yun Xiong

2025-02-07T01:22:47+00:00 ― 7 min read

Quantum Physics Decoding the Future of Quantum Machine Learning

An overview of the challenges and breakthroughs in explainable quantum AI.

Elies Gil-Fuster, Jonas R. Naujoks, Grégoire Montavon

2025-02-06T20:17:36+00:00 ― 6 min read

Methodology Mastering Linear Regression: A Guide to Predictions

Learn how to use linear regression methods for effective data predictions.

Alberto Quaini

2025-02-04T17:25:46+00:00 ― 6 min read

Machine Learning Revolutionizing Neural Network Training with Learn2Mix

Discover an efficient new approach to train neural networks effectively.

Shyam Venkatasubramanian, Vahid Tarokh

2025-02-04T12:20:35+00:00 ― 6 min read

Machine Learning Reward Hacking: A Challenge in AI Learning

Understanding the pitfalls of reward hacking in AI systems and its implications.

Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi

2025-02-04T07:15:24+00:00 ― 8 min read

Machine Learning Simplifying Neural Networks: Uncertainty and Efficiency

Learn how to streamline neural networks and improve prediction confidence.

Govinda Anantha Padmanabha, Cosmin Safta, Nikolaos Bouklas

2025-02-04T02:10:13+00:00 ― 7 min read

Artificial Intelligence Generative Models: Crafting New Realities from Data

Discover how generative models shape data into innovative creations.

Yang He, Vassiliy Lubchenko

2025-02-03T15:59:51+00:00 ― 6 min read

Machine Learning Bridging the Gap: Health Disparities Uncovered

New models reveal critical insights into health disparities and patient care.

Erica Chiang, Divya Shanmugam, Ashley N. Beecy

2025-02-03T10:54:40+00:00 ― 6 min read