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[2603.29042] An Empirical Recipe for Universal Phone Recognition
Machine Learning

[2603.29042] An Empirical Recipe for Universal Phone Recognition

Abstract page for arXiv paper 2603.29042: An Empirical Recipe for Universal Phone Recognition

arXiv - Machine Learning · 3 min ·
[2604.01216] LAtent Phase Inference from Short time sequences using SHallow REcurrent Decoders (LAPIS-SHRED)
Machine Learning

[2604.01216] LAtent Phase Inference from Short time sequences using SHallow REcurrent Decoders (LAPIS-SHRED)

Abstract page for arXiv paper 2604.01216: LAtent Phase Inference from Short time sequences using SHallow REcurrent Decoders (LAPIS-SHRED)

arXiv - AI · 4 min ·
[2604.01215] The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline
Machine Learning

[2604.01215] The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline

Abstract page for arXiv paper 2604.01215: The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction ...

arXiv - AI · 4 min ·
[2604.01210] CliffSearch: Structured Agentic Co-Evolution over Theory and Code for Scientific Algorithm Discovery
Llms

[2604.01210] CliffSearch: Structured Agentic Co-Evolution over Theory and Code for Scientific Algorithm Discovery

Abstract page for arXiv paper 2604.01210: CliffSearch: Structured Agentic Co-Evolution over Theory and Code for Scientific Algorithm Disc...

arXiv - AI · 4 min ·
[2604.01178] Screening Is Enough
Machine Learning

[2604.01178] Screening Is Enough

Abstract page for arXiv paper 2604.01178: Screening Is Enough

arXiv - AI · 3 min ·
[2604.01175] NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting
Machine Learning

[2604.01175] NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting

Abstract page for arXiv paper 2604.01175: NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality For...

arXiv - Machine Learning · 4 min ·
[2604.01130] Toward Personalized Darts Training: A Data-Driven Framework Based on Skeleton-Based Biomechanical Analysis and Motion Modeling
Machine Learning

[2604.01130] Toward Personalized Darts Training: A Data-Driven Framework Based on Skeleton-Based Biomechanical Analysis and Motion Modeling

Abstract page for arXiv paper 2604.01130: Toward Personalized Darts Training: A Data-Driven Framework Based on Skeleton-Based Biomechanic...

arXiv - Machine Learning · 4 min ·
[2604.01170] Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning
Llms

[2604.01170] Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning

Abstract page for arXiv paper 2604.01170: Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning

arXiv - AI · 4 min ·
[2604.01169] Bridging the Simulation-to-Experiment Gap with Generative Models using Adversarial Distribution Alignment
Machine Learning

[2604.01169] Bridging the Simulation-to-Experiment Gap with Generative Models using Adversarial Distribution Alignment

Abstract page for arXiv paper 2604.01169: Bridging the Simulation-to-Experiment Gap with Generative Models using Adversarial Distribution...

arXiv - Machine Learning · 4 min ·
[2604.01161] Reasoning Shift: How Context Silently Shortens LLM Reasoning
Llms

[2604.01161] Reasoning Shift: How Context Silently Shortens LLM Reasoning

Abstract page for arXiv paper 2604.01161: Reasoning Shift: How Context Silently Shortens LLM Reasoning

arXiv - Machine Learning · 3 min ·
[2604.01098] Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization
Machine Learning

[2604.01098] Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization

Abstract page for arXiv paper 2604.01098: Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Rando...

arXiv - AI · 4 min ·
[2604.01153] Property-Level Flood Risk Assessment Using AI-Enabled Street-View Lowest Floor Elevation Extraction and ML Imputation Across Texas
Machine Learning

[2604.01153] Property-Level Flood Risk Assessment Using AI-Enabled Street-View Lowest Floor Elevation Extraction and ML Imputation Across Texas

Abstract page for arXiv paper 2604.01153: Property-Level Flood Risk Assessment Using AI-Enabled Street-View Lowest Floor Elevation Extrac...

arXiv - Machine Learning · 4 min ·
[2604.01117] Reconsidering Dependency Networks from an Information Geometry Perspective
Machine Learning

[2604.01117] Reconsidering Dependency Networks from an Information Geometry Perspective

Abstract page for arXiv paper 2604.01117: Reconsidering Dependency Networks from an Information Geometry Perspective

arXiv - Machine Learning · 3 min ·
[2604.01025] Fast and Accurate Probing of In-Training LLMs' Downstream Performances
Llms

[2604.01025] Fast and Accurate Probing of In-Training LLMs' Downstream Performances

Abstract page for arXiv paper 2604.01025: Fast and Accurate Probing of In-Training LLMs' Downstream Performances

arXiv - AI · 4 min ·
[2604.01024] Model-Based Learning of Near-Optimal Finite-Window Policies in POMDPs
Machine Learning

[2604.01024] Model-Based Learning of Near-Optimal Finite-Window Policies in POMDPs

Abstract page for arXiv paper 2604.01024: Model-Based Learning of Near-Optimal Finite-Window Policies in POMDPs

arXiv - Machine Learning · 3 min ·
[2604.01021] Transfer learning for nonparametric Bayesian networks

[2604.01021] Transfer learning for nonparametric Bayesian networks

Abstract page for arXiv paper 2604.01021: Transfer learning for nonparametric Bayesian networks

arXiv - AI · 4 min ·
[2604.00911] Event Embedding of Protein Networks : Compositional Learning of Biological Function
Machine Learning

[2604.00911] Event Embedding of Protein Networks : Compositional Learning of Biological Function

Abstract page for arXiv paper 2604.00911: Event Embedding of Protein Networks : Compositional Learning of Biological Function

arXiv - Machine Learning · 3 min ·
[2604.00942] Differentially Private Manifold Denoising
Data Science

[2604.00942] Differentially Private Manifold Denoising

Abstract page for arXiv paper 2604.00942: Differentially Private Manifold Denoising

arXiv - Machine Learning · 4 min ·
[2604.00860] Policy Improvement Reinforcement Learning
Llms

[2604.00860] Policy Improvement Reinforcement Learning

Abstract page for arXiv paper 2604.00860: Policy Improvement Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2604.01000] EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
Machine Learning

[2604.01000] EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training

Abstract page for arXiv paper 2604.01000: EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training

arXiv - Machine Learning · 4 min ·