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Search: “framework”

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Tutorials

Let EEG Models Learn EEG

DGX agent

arXiv:2605.21280v1 Announce Type: new Abstract: High-fidelity EEG generation is critical for alleviating data scarcity and addressing privacy constraints in large-scale neural modeling. Despite recent

tutorialsarxiv-cs-cv

21 May 2026

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Linear-DPO: Linear Direct Preference Optimization for Diffusion and Flow-Matching Generative Models

DGX agent

Search: “framework”

Let EEG Models Learn EEG

Linear-DPO: Linear Direct Preference Optimization for Diffusion and Flow-Matching Generative Models

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex

Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning

MagBridge-Battery: A Synthetic Bridge Dataset for Li-ion Magnetometry and State-of-Health Diagnostics

Map-Mono-Ego: Map-Grounded Global Human Pose Estimation from Monocular Egocentric Video

Markovian Circuit Tracing for Transformer State Dynamic

Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?

Mitigating Label Bias with Interpretable Rubric Embeddings

Mix-Quant: Quantized Prefilling, Precise Decoding for Agentic LLMs

Mobile UMI: Cross-View Diffusion Policy with Decoupled Kinematics for Mobile Manipulation

Modeling Temporal scRNA-seq Data with Latent Gaussian Process and Optimal Transport

Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI

Multi-Head Attention as Ensemble Nadaraya-Watson Estimation: Variance Reduction, Decorrelation, and Optimal Head Diversity

Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards

Multimodal Optimal Transport for Training-free Temporal Segmentation in Surgical Robotics

Musical Attention Transformer: Music Generation Using a Music-Specific Attention Model

Neural Estimation of Pairwise Mutual Information in Masked Discrete Sequence Models

Nonparametric Learning and Earning with One-Point Feedback under Nonstationarity

OcclusionFormer: Arranging Z-Order for Layout-Grounded Image Generation

On the Regularity and Generalization of One-Step Wasserstein-guided Generative Models for PDE-Induced Measures

Online 3D Multi-Camera Perception through Robust 2D Tracking and Depth-based Late Aggregation

Optimization Hyper-parameter Laws for Large Language Models

Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search

OSGNet with MLLM Reranking @ Ego4D Episodic Memory Challenge 2026

PaintCopilot: Modeling Painting as Autonomous Artistic Continuation

Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning

PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection

Physics-informed convolutional neural networks for fluid flow through porous media

Pixel Wised Lesion Prediction on COVID-19 CT Imagery: A Comparative Analysis of Automated Image Segmentation Architectures

PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models

Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators

Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis

Preserve, Reveal, Expand: Faithful 4D Video Editing with Region-Aware Conditioning

Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine

Q-ARVD: Quantizing Autoregressive Video Diffusion Models

Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution

Q-SYNTH: Hybrid Quantum-Classical Adversarial Augmentation for Imbalanced Fraud Detection

Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate

Quant.npu: Enabling Efficient Mobile NPU Inference for on-device LLMs via Fully Static Quantization

Quantum End-to-End Learning for Contextual Combinatorial Optimization

R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis

Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces

RelWitness: Open-Vocabulary 3D Scene Graph Generation with Visual-Geometric Relation Witnesses

ReMATF: Recurrent Motion-Adaptive Multi-scale Turbulence Mitigation for Dynamic Scenes