AI News

Mixtures of Neural Operators Reduce Active Complexity in Operator Learning (arxiv.org)

Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss (arxiv.org)

Time series forecasting from partial observations via Non-negative Matrix Factorization (arxiv.org)

MAD: Manifold Attracted Diffusion (arxiv.org)

Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization (arxiv.org)

Latent Guided Sampling for Combinatorial Optimization (arxiv.org)

An $(\epsilon,\delta)$-accurate level set estimation with a stopping criterion (arxiv.org)

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems (arxiv.org)

Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques (arxiv.org)

Conformal Prediction for Dyadic Regression Under Complex Missingness (arxiv.org)

Data-Driven Dynamic Assortment in Online Platforms: Learning about Two Sides (arxiv.org)

Flexible Kernels for Protein Property Prediction (arxiv.org)

Express Language Modeling (arxiv.org)

Conservation Laws from Data Symmetry in Neural Networks (arxiv.org)

SPACR: Single-Pass Adaptive Training of Uncertainty-Aware Conformal Regressors (arxiv.org)

Deterministic Denominator Design for Localized Tamed Stochastic-Gradient Langevin Dynamics (arxiv.org)

Limitations of Learning Tanh Neural Networks with Finite Precision (arxiv.org)

Robust Active Learning for Few-Shot Example Selection in Text-to-SQL (arxiv.org)

Mechanistic Analysis of Alignment Algorithms in Language Models (arxiv.org)

AuRA: Internalizing Audio Understanding into LLMs as LoRA (arxiv.org)

Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models (arxiv.org)

Data-Driven Runway and Taxiway Exits Prediction of Landing Aircraft: A Case Study at Hartsfield-Jackson Atlanta International Airport (arxiv.org)

Learning Doubly Sparse Explicitly Conditioned Transforms (arxiv.org)

Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning (arxiv.org)

ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience (arxiv.org)

MoE Enhanced Federated Learning for Spatiotemporal Prediction (arxiv.org)

Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU-GPU Hybrid Design (arxiv.org)

Stop Early, Spend Less: Hidden-State Probes as a Practical Recipe for Streaming Moderation of LLM Outputs (arxiv.org)

Population-Aware Physics-Informed Neural Particle Flow for Bayesian Update (arxiv.org)

Boosting ECG Classification Performance by Pre-training with Synthesized Data (arxiv.org)

CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting (arxiv.org)

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data (arxiv.org)

A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models (arxiv.org)

Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning (arxiv.org)

When Design Rules Break: Benchmark Composition Determines Whether Label Informativeness Predicts GNN Aggregator Choice (arxiv.org)

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction (arxiv.org)

Deep Slice Interpolation for Reducing Through-Plane Anisotropy and Noise in Head CT (arxiv.org)

Learning Where to Simulate: Generative Active Sampling for Online PDE Surrogate Training (arxiv.org)

GAGI: A Gini-Adjusted GDP-per-Capita Index for Distribution-Aware Macroeconomic Welfare Monitoring (arxiv.org)

Anomaly Detection and Root Cause Analysis for Microservice Systems (arxiv.org)

Interactions Between Crosscoder Features: A Compact Proofs Perspective (arxiv.org)

Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation (arxiv.org)

Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming (arxiv.org)

SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting (arxiv.org)

IntentKV: Cross-Turn Intent-Aware KV Cache Pruning for Agent Inference (arxiv.org)

RKSC: Reasoning-Aware KV Cache Sharing and Confident Early Exit for Multi-Step LLM Inference (arxiv.org)

The Whale That Outswam Evolution: Swarm Intelligence Maximises Memory in Connectome Reservoirs (arxiv.org)

Less Context, More Accuracy: A Bi-Temporal Memory Engine for LLM Agents Where a Lean Retrieved Context Beats the Full History (arxiv.org)

When Attribution Patching Lies: Diagnosis and a Second-Order Correction (arxiv.org)

HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework (arxiv.org)