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- Currently displaying 21 - 40 of 2105 publications
Efficient and Minimax-optimal In-context Nonparametric Regression with Transformers
(2026)
On gradient stability in nonlinear PDE models and inference in interacting particle systems
– arxiv preprint
(2026)
(doi: 10.48550/arxiv.2601.10326)
Entropic Additive Energy and Entropy Inequalities for Sums and Products
– IEEE Transactions on Information Theory
(2026)
72,
1553
(doi: 10.1109/tit.2026.3653549)
The distance problem via subadditivity
– Annales Henri Lebesgue
(2025)
8,
1023
(doi: 10.5802/ahl.254)
Inference with Mondrian random forests
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2025)
qkaf077
(doi: 10.1093/jrsssb/qkaf077)
The lost boarding pass and other practical problems
– The Mathematical Gazette
(2025)
105,
216
(doi: 10.1017/mag.2021.49)
Data-driven dust inference at mid-to-high Galactic latitudes using probabilistic machine learning
– Monthly Notices of the Royal Astronomical Society
(2025)
546,
staf2147
(doi: 10.1093/mnras/staf2147)
Short-term animal product dietary restriction alters metabolic profiles and modulates immune function.
– Communications medicine
(2025)
6,
16
(doi: 10.1038/s43856-025-01274-y)
Accuracy and clinical effectiveness of fetal growth monitoring strategies for the prediction of small for gestational age at birth: a systematic review and meta-analysis.
– Health Technology Assessment
(2025)
29,
1
(doi: 10.3310/ajlk7403)
Alice and Bob on X: Reversal, Coupling, Renewal
– The American Mathematical Monthly
(2025)
133,
439
Protein language models uncover carbohydrate-active enzyme function in metagenomics.
– BMC bioinformatics
(2025)
26,
285
(doi: 10.1186/s12859-025-06286-y)
Entropic additive energy and entropy inequalities for sums and products
(2025)
(doi: 10.48550/arxiv.2506.20813)
Geodesics in the Brownian Map: Strong Confluence and Geometric Structure
– Memoirs of the American Mathematical Society
(2025)
315,
(doi: 10.1090/memo/1602)
Pragmatic lossless compression: Fundamental limits and universality
(2025)
(doi: 10.48550/arxiv.2501.10103)
The case for and against fixed step-size: Stochastic approximation algorithms in optimization and machine learning
(2025)
(doi: 10.48550/arxiv.2309.02944)