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Research

A dimensional R2 regression metric

DGX agent

arXiv:2605.01066v1 Announce Type: new Abstract: R2 score is the standard metric for evaluating regression tasks, offering a normalized magnitude-agnostic measure of accuracy that captures variance. Ho

researcharxiv-cs-lg

5 May 2026

Research

A framework for analyzing concept representations in neural models

DGX agent

arXiv:2605.01381v1 Announce Type: new Abstract: Understanding how neural models represent human-interpretable concepts is challenging. Prior work has explored linear concept subspaces from diverse per

All entries

A dimensional R2 regression metric

A framework for analyzing concept representations in neural models

A High-Fidelity Digital Twin for Robotic Manipulation Based on 3D Gaussian Splatting

A Hybrid Approach for Closing the Sim2real Appearance Gap in Game Engine Synthetic Datasets

A hybrid solution approach for the Integrated Healthcare Timetabling Competition 2024

A Hybrid Windkessel-Neural Approach for Improved Noninvasive Blood Pressure Monitoring

A Language for Describing Agentic LLM Contexts

A Light Weight Multi-Features-View Convolution Neural Network For Plant Disease Identification

A Meta Reinforcement Learning Approach to Goals-Based Wealth Management

A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis

A multilingual hallucination benchmark: MultiWikiQHalluA

A Multimodal Dataset for Visually Grounded Ambiguity in Machine Translation

A Near-optimal SQ Lower Bound for Smoothed Agnostic Learning of Boolean Halfspaces

A Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN)

A PAC-Bayesian Analysis of Channel-Induced Degradation in Edge Inference

A Parameter-Free First-Order Algorithm for Non-Convex Optimization with ilde{mkern1mu O}(epsilon^{-5/3}) Global Rate

A Principled Approach for Creating High-fidelity Synthetic Demonstrations for Imitation Learning

A Proof-of-Concept Study of Multitask Learning for Cranial Synthetic CT Generation Across Heterogeneous MRI Field Strengths

A Rational Account of Categorization Based on Information Theory

A Review of the Receiver Operating Characteristic Curve and a Proof About the Area Beneath It

A second-order method on the Stiefel manifold via Newtonnicode{x2013}Schulz

A Semantic Autonomy Framework for VLM-Integrated Indoor Mobile Robots: Hybrid Deterministic Reasoning and Cross-Robot Adaptive Memory

A Semi-Supervised Kernel Two-Sample Test

A skin-like conformal sensor for real-time shape mapping

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges

A Synthesizable RTL Implementation of Predictive Coding Networks

A Systematic Benchmark of Machine Transliteration Models for the Tajik-Farsi Language Pair: A Comparative Study from Rule-Based to Transformer Architectures

A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation

A Theoretical Game of Attacks via Compositional Skills

A Theory of Generalization in Deep Learning

A Theory of Saddle Escape in Deep Nonlinear Networks

A tutorial on learning from preferences and choices with Gaussian Processes

A Unified Multi-Dynamics Framework for Perception-Oriented Modeling in Tendon-Driven Continuum Robots

Ablation Study of Multimodal Perception, Language Grounding, and Control for Human-Robot Interaction in an Object Detection and Grasping Task

Accelerating battery research with an AI interface between FINALES and Kadi4Mat

Accurate Legal Reasoning at Scale: Neuro-Symbolic Offloading and Structural Auditability for Robust Legal Adjudication

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning

Act2See: Emergent Active Visual Perception for Video Reasoning

ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control

Action Agent: Agentic Video Generation Meets Flow-Constrained Diffusion

Activation Compression in LLMs: Theoretical Analysis and Efficient Algorithm

Active multiple matrix completion with adaptive confidence sets

Active Reasoning Vision-Language Models via Sequential Experimental Design

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion

AdamO: A Collapse-Suppressed Optimizer for Offline RL

Adaptation of AI-accelerated CFD Simulations to the IPU platform

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis

Adaptive Alarm Threshold Prediction in 4G Mobile Networks: A Percentile-Guided Deep Learning Framework with Interpretable Outputs