AI News

Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models (arxiv.org)

Range Penalization: Theoretical Insights with Applications in Federated Learning (arxiv.org)

Human-AI Teaming Through the Lens of Calibration (arxiv.org)

Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin (arxiv.org)

$k$-Nearest Neighbors in Gromov--Wasserstein Space (arxiv.org)

Decision-Calibrated Conformal Uncertainty for Pacing Decisions in Streaming Advertising (arxiv.org)

Generalized Conformal Predictive Systems Under Distributional Shifts (arxiv.org)

Blind denoising diffusion models and the blessings of dimensionality (arxiv.org)

Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access (arxiv.org)

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective (arxiv.org)

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)

Beyond APIs: Probing the Limits of MLLMs in Physical Tool Use (arxiv.org)

Accounting for AI Inference in Corporate GHG Inventories: A Four-Tier Methodology for Scope 3 Category 1 Reporting (arxiv.org)

Post-Quantum Secure Federated DeFi for Inclusive Banking (arxiv.org)

Dynamic Linear Attention (arxiv.org)

STORM: Stepwise Token Optimization with Reward-Guided Beam Search (arxiv.org)

Cost-Aware Routing for Efficient Text-To-Image Generation (arxiv.org)

Can Image Models Imagine Time? ImageTime: A Novel Benchmark for Probing Visual World Modeling Through Spatiotemporal Consistency (arxiv.org)

Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games (arxiv.org)

Belief-Space Control for Personalized Cancer Treatment via Active Inference (arxiv.org)

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning (arxiv.org)

PRISM: Parallel Residual Iterative Sequence Model (arxiv.org)

A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection (arxiv.org)

Validation-Stage Combinatorial Fusion Analysis for Imbalanced Credit-Card Fraud Detection (arxiv.org)

When Metrics Disagree: A Meta-Analysis of Knowledge-Graph-Completion Model Benchmarking (arxiv.org)

Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing (arxiv.org)

MinhwaNet: Faithful but Insufficient Object Grounding in Korean Folk Painting (arxiv.org)

Gradient-Guided Reward Optimization for Inference-time Alignment (arxiv.org)

Sampling Triangulations and Calabi-Yau Threefolds with Autoregressive GNNs (arxiv.org)

Spiking Neural Network inference on FPGAs with hls4ml (arxiv.org)

When to Align, When to Predict: A Phase Diagram for Multimodal Learning (arxiv.org)

Predicting Future Behaviors in Reasoning Models Enables Better Steering (arxiv.org)

Algorithmic and Minimax Complexities in Kernel Bandits (arxiv.org)