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Safety

Diverse Dictionary Learning

DGX agent

arXiv:2604.17568v1 Announce Type: new Abstract: Given only observational data X = g(Z), where both the latent variables Z and the generating process g are unknown, recovering Z is ill-posed without ad

safetyarxiv-cs-lg

21 Apr 2026

Research

Duality for the Adversarial Total Variation

DGX agent

arXiv:2604.18540v1 Announce Type: cross Abstract: Adversarial training of binary classifiers can be reformulated as regularized risk minimization involving a nonlocal total variation. Building on this

Search: “models”

Diverse Dictionary Learning

Duality for the Adversarial Total Variation

EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence

Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection

Enabling AI ASICs for Zero Knowledge Proof

Evaluating Adaptive Personalization of Educational Readings with Simulated Learners

Evolutionary Negative Module Pruning for Better LoRA Merging

Expert-Annotated Embryo Image Dataset with Natural Language Descriptions for Evidence-Based Patient Communication in IVF

Extraction of informative statistical features in the problem of forecasting time series generated by It{o}-type processes

Foundational Study on Authorship Attribution of Japanese Web Reviews for Actor Analysis

Function Words as Statistical Cues for Language Learning

G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion

Generative midtended cognition and Artificial Intelligence. Thinging with thinging things

Geodesic Semantic Search: Cartographic Navigation of Citation Graphs with Learned Local Riemannian Maps

Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning

Greedy Kalman-Swarm: Improving State Estimation in Robot Swarms in Harsh Environments

GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting

HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval

Hyperbolic Enhanced Representation Learning for Incomplete Multi-view Clustering

ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection

Improving reproducibility by controlling random seed stability in machine learning based estimation via bagging

Improving Speech Recognition of Named Entities in Classroom Speech with LLM Revision and Phonetic-Semantic Context

Integrating Feature Selection and Machine Learning for Nitrogen Assessment in Grapevine Leaves using In-Field Hyperspectral Imaging

Is Agentic RAG worth it? An experimental comparison of RAG approaches

Learning Unanimously Acceptable Lotteries via Queries

Learning Whole-Body Humanoid Locomotion via Motion Generation and Motion Tracking

Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification

LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies

LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation

LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization

LTRR: Learning To Rank Retrievers for LLMs

Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions

MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning

Matched-Learning-Rate Analysis of Attention Drift and Transfer Retention in Fine-Tuned CLIP

Mechanisms of Multimodal Synchronization: Insights from Decoder-Based Video-Text-to-Speech Synthesis

Medial Axis Aware Learning of Signed Distance Functions

Migrant Voices, Local News: Insights on Bridging Community Needs with Media Content

MODEST: Multi-Optics Depth-of-Field Stereo Dataset

Multi-View Hierarchical Graph Neural Network for Sketch-Based 3D Shape Retrieval

Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries

Novel Algorithms for Smoothly Differentiable and Efficiently Vectorizable Contact Manifold Construction

Oblivion: Self-Adaptive Agentic Memory Control through Decay-Driven Activation

On-Orbit Space AI: Federated, Multi-Agent, and Collaborative Algorithms for Satellite Constellations

Pearmut: Human Evaluation of Translation Made Trivial

Physics-Informed Tracking (PIT)