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Knowledge catalogue

Search: “applications”

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Research

Universal Algorithm-Implicit Learning

DGX agent

arXiv:2602.14761v2 Announce Type: replace-cross Abstract: Current meta-learning methods are constrained to narrow task distributions with fixed feature and label spaces, limiting applicability. Moreov

researcharxiv-cs-ai

8 Jul 2026

Model Releases

Why does Deep Learning Improve Visual SLAM?

DGX agent

arXiv:2607.06023v1 Announce Type: new Abstract: Visual SLAM is a well-established technology utilized in a wide range of real-world applications. However, its performance still degrades under challeng

Search: “applications”

Universal Algorithm-Implicit Learning

Why does Deep Learning Improve Visual SLAM?

Anytime Plug-and-Play Control with Contract-Based Distributed MPC

AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements

Builder, Defender, Breaker: The Case Against Removing the Human from the AI-Driven Security Lifecycle

Constrained Flow Matching via Lagrangian Dual Flows

CTForensics: A Comprehensive Dataset and Method for AI-Generated CT Image Detection

Exploring Convolutional Neural Processes for Weather Downscaling

Faithfulness to Refusal: A Causal Audit of Neuron Selectors

FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training

FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms

Flow-A11y: Flow-Aware Accessibility Testing

From Mobile Data to Business Insights: An End-to-End Analytics Framework for Large-Scale Urban Mobility Analysis and Decision Support

From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation

Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making

Interpretable Nanoporous Materials Design with Symmetry-Aware Networks

Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments

Learning to Visually Connect Actions and their Effects

Natural Language Camera Movement Understanding

Non-asymptotic Convergence of Stochastic Gradient Descent in Score-based Generative Models

Overloading Large Vision-Language Models for Jailbreaking

Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution

PDFBench: A Benchmark for De novo Protein Design from Function

Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs

Robustness Meets Uncertainty: Evidential Adversarial Training for Robust Selective Classification

Semantic-Guided Progressive Object Removal with Gaussian Splatting

TiROD: Tiny Robotics Dataset and Benchmark for Continual Object Detection

UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks

UniSkip-Mamba: A Frequency-Aware State Space Model for Audio-Visual Temporal Forgery Localization

VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models

VISOR: Visual Input-based Steering for Output Redirection in Vision-Language Models

A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA

Behind the Refusal: Determining Guardrail Activation via Behavioral Monitoring

Grounded Optimization: A Layered Engineering Framework for Reducing LLM Hallucination in Automated Personal Document Rewriting

Learning 3D-Gaussian Simulators from RGB Videos

Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation

ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning

SPLC: Social Preference Learning for Crowd Robot Navigation

Transformer Geometry Observatory TGO-II: Representational Similarity Observatory

YuFeng-XGuard: A Reasoning-Centric, Interpretable, and Flexible Guardrail Model for Large Language Models

Generative Model Proposal based Particle Filtering for Data Assimilation

Goal-oriented learning of stochastic differential equations using error bounds on path-space observables

PAPA: Online Personalized Active Preference Alignment

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions

Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling

Technical Report: Asynchronous Distributed Trajectory Estimation of Multi-Robot Systems