Learn how Gaussian processes address prediction uncertainty in machine learning.
Difeng Cai, Edmond Chow, Yuanzhe Xi
― 5 min read
Cutting edge science explained simply
Learn how Gaussian processes address prediction uncertainty in machine learning.
Difeng Cai, Edmond Chow, Yuanzhe Xi
― 5 min read
A new method enhances the analysis of point distributions in various fields.
Hee-Geon Kang, Sunggon Kim
― 6 min read
A method to classify complex time series data using spectral analysis.
Sarbojit Roy, Malik Shahid Sultan, Hernando Ombao
― 5 min read
This article examines how intrinsic dimension influences neural network performance across image types.
Nicholas Konz, Maciej A. Mazurowski
― 5 min read
A new method reveals insights into prediction errors and model complexity.
Mark K. Transtrum, Gus L. W. Hart, Tyler J. Jarvis
― 8 min read
Innovative approach to enhance diffusion models while avoiding complex adjustments.
Xiner Li, Yulai Zhao, Chenyu Wang
― 5 min read
A new Bayesian approach enhances modeling of complex systems and their dynamics.
Max D. Champneys, Timothy J. Rogers
― 4 min read
SwipeRx uses AI for personalized pharmacy recommendations and improved patient care.
Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva
― 5 min read
A new method enhances active learning in graph-based tasks with limited labeling.
Yuanchen Wu, Yubai Yuan
― 5 min read
New error bounds improve GPR's reliability in safety-sensitive fields.
Robert Reed, Luca Laurenti, Morteza Lahijanian
― 6 min read
Researching how to learn operators and handle errors effectively in function spaces.
Unique Subedi, Ambuj Tewari
― 6 min read
A new method enhances understanding of feature importance in machine learning.
Daniel de Marchi, Michael Kosorok, Scott de Marchi
― 9 min read
Learn how group symmetries can enhance classification models in machine learning.
Vishal S. Ngairangbam, Michael Spannowsky
― 6 min read
A new approach to enhance classification accuracy using PAC-Bayesian theory.
The Tien Mai
― 6 min read
Examining how Bayesian approaches improve structural performance assessment through uncertainty quantification.
Brandon J. O'Connell, Max D. Champneys, Timothy J. Rogers
― 5 min read
COG improves blending of latent variables in generative models.
Erik Bodin, Carl Henrik Ek, Henry Moss
― 5 min read
Examining how entropy regularization enhances decision-making in uncertain environments.
Jodi Dianetti, Giorgio Ferrari, Renyuan Xu
― 5 min read
State Space Learning enhances time series analysis through improved accuracy and flexibility.
André Ramos, Davi Valladão, Alexandre Street
― 5 min read
A fresh approach to causal inference using flexible data collection methods.
Abhinandan Dalal, Patrick Blöbaum, Shiva Kasiviswanathan
― 6 min read
Learn how the Deep Limit Model-free method improves predictions and uncertainty management.
Kejin Wu, Dimitris N. Politis
― 6 min read
Innovative method combines machine learning and physics for solving differential equations.
Kai-liang Lu, Yu-meng Su, Zhuo Bi
― 6 min read
A novel algorithm enhances decision-making in complex environments using historical data.
Xiaofeng Lin, Xuezhou Zhang
― 5 min read
Automated systems improve train diagnostics, leading to faster repairs and fewer delays.
Georges Tod, Jean Bruggeman, Evert Bevernage
― 6 min read
Learn how Parseval operators enhance image processing in CNNs.
Michael Unser, Stanislas Ducotterd
― 5 min read
New strategies for improved outlier detection are reshaping data analysis methods.
Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak
― 6 min read
New methods refine constitutive models for soft materials using statistical techniques.
Sachin Shanbhag, Gordon Erlebacher
― 6 min read
A look at recent methods to recover low-rank matrices with fewer observations.
Dominik Stöger, Yizhe Zhu
― 6 min read
A look at how random walks help in understanding complex data changes.
Shih-Yu Chang
― 5 min read
New methods in conformal prediction enhance reliability for group outcomes.
Rui Luo, Zhixin Zhou
― 6 min read
A novel approach enhances accuracy of climate predictions by addressing unobserved factors.
Wentao Gao, Jiuyong Li, Debo Cheng
― 5 min read
Exploring the impact of predictive coding on neural network learning methods.
Francesco Innocenti, El Mehdi Achour, Ryan Singh
― 6 min read
A novel method improves Bayesian network learning from data.
Tong Xu, Simge Küçükyavuz, Ali Shojaie
― 5 min read
A new method simplifies estimating connections between probability distributions.
Aram-Alexandre Pooladian, Jonathan Niles-Weed
― 7 min read
A novel approach improves predictions by managing time delays in sensor data.
Jiajie Wang, Zhiyuan Jerry Lin, Wen Chen
― 7 min read
A new method for assessing the value of graph data in various fields.
Ali Falahati, Mohammad Mohammadi Amiri
― 7 min read
New tools improve understanding of Functional Random Forest predictions in healthcare.
Fabrizio Maturo, Annamaria Porreca
― 8 min read
Exploring the impact of in-context learning on language model performance.
Juno Kim, Tai Nakamaki, Taiji Suzuki
― 6 min read
A look into the types and measurement of uncertainty in predictions.
Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro
― 7 min read
Research reveals how layers in LLMs equally contribute to predictions.
Hangfeng He, Weijie J. Su
― 6 min read
Exploring how author rankings can improve peer review quality in research.
Buxin Su, Jiayao Zhang, Natalie Collina
― 5 min read