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Tutorials

Diffeomorphic Optimization

DGX agent

arXiv:2607.00947v1 Announce Type: new Abstract: Generative models learn data distributions that reside on a low-dimensional manifold within a higher-dimensional ambient space. Optimizing differentiabl

tutorialsarxiv-cs-lg

2 Jul 2026

Research

Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication

DGX agent

arXiv:2607.00609v1 Announce Type: new Abstract: Reconstruction-based generative models offer a natural framework for unsupervised out-of-distribution (OOD) detection, but multi-class normality modelli

All entries

Diffeomorphic Optimization

Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication

Diffusion-GR2: Diffusion Generative Reasoning Re-ranker

DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning

Disentangling Speaker and Language Effects in Cross-Lingual Speaker Verification for Iberian Languages

Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation

Distributed Multi Robot Lunar Cargo Transportation via Phase Decomposed Reinforcement Learning

Distributed Online Bandit Submodular Maximization with Bounded Sampling Violations

Distributionally Robust Linear Regression With Block Lewis Weights

Do Time Series Foundation Model Benchmarks Hide Regime-Dependent Failures? Evidence from Traffic Speed Forecasting

Does Your ViT Still Need U-Net for Segmentation?

Domain Arithmetic: One-Shot VLA Adaptation under Environmental Shifts

'Don't Say It!': Constraints, Compliance, and Communication when Language Models Play Taboo

DriftScope: Measuring The Hidden Effects of Diffusion Model Adaptation

DriveVA: Video Action Models are Zero-Shot Drivers

DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving

DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images

DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble

Dual-Confidence Contrastive Decoding for Retrieval-Augmented Generation

Dual-Informed Vertical Expansion for Multi-Objective Node Selection in Anytime Conflict-Based Search

Dynamic Bidirectional Pattern Memory: A Production-Scale Empirical Characterisation of Inference-Time Gating in Clinical NLP

E-TIDE: Fast, Structure-Preserving Motion Forecasting from Event Sequences

EchoRisk: A Multicentre Echocardiography Dataset and Benchmark for Cardio-Oncology

ECoSim: Data Efficient Fine-Tuning for Controllable Traffic Simulation

Efficient Compression of Structured and Unstructured Volumes via Learned 3D Gaussian Representation

Efficient Multilingual Reasoning Transfer via Progressive Code-Switching

Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection

EgoGapBench: Benchmarking Egocentric Action Selection in Multi-Agent Scenes

EgoSafetyBench: A Diagnostic Egocentric Video Benchmark for Evaluating Embodied VLMs as Runtime Safety Guards

EgoSim: Egocentric World Simulator for Embodied Interaction Generation

ELMP: Efficient Learning for Motion Planning via Analytical Policy Gradients

EmbodimentSemantic: A Spatial Scene-Graph Dataset and Benchmark for Vision-Language Models on Embodied Manipulation Trajectories

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling

Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking

Enhancing Flow Matching with A Unified Guidance Framework for Efficient and Robust Speech Synthesis

Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms

Enhancing Oracle Bone Inscription Recognition via Multi-Scale Layer Attention

Enhancing Robustness in Robot-Environment Interactions through Passive Compliant Degrees of Freedom: A Hybrid Position-Force Control Approach with Feedback Linearization

Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning

EO-VGGT: Orbital Ray-Conditioned 3D Foundation Models for Satellite Multi-View Reconstruction

EPC: A Standardized Protocol for Measuring Evaluator Preference Dynamics in LLM Agent Systems

EPO: Boosting 3D Foundation Models with Edge-based Pose Optimization

EquiSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image Generation

Evaluating Implicit Biases in LLM Reasoning through Logic Grid Puzzles

Evaluating Pretrained Music Embeddings for Cross-Performance Jazz Standard Recognition

Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs