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Research

MAD: Manifold Attracted Diffusion

DGX agent

arXiv:2509.24710v2 Announce Type: replace-cross Abstract: Score-based diffusion models are a highly effective method for generating samples from a distribution of images. We consider scenarios where t

researcharxiv-cs-lg

10 Jun 2026

Research

Making Time Editable in Video Diffusion Transformers

DGX agent

arXiv:2606.10183v1 Announce Type: cross Abstract: Modern Diffusion Transformers for video generation provide limited control over the progression of time and the editing of temporal dynamics. We propo

research

MAD: Manifold Attracted Diffusion

Making Time Editable in Video Diffusion Transformers

Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching

MetaPlate: Counterfactual-Guided RAG-LLM Tool for Personalized Food Recommendation and Hyperglycemia Prevention

Minimalist Genetic Programming

Minimum Distortion Quantization with Specified Output Distribution

Mix, Don't Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining

Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making

Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes

Multi-Angular Reflectance Anisotropy Observed from UAV Multispectral Imagery

Multimodal Brain Tumour Classification Using Feature Fusion

Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin

++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation

NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision

NuWa: Deriving Lightweight Class-Specific Vision Transformers for Edge Devices

OMG: Omni-Modal Motion Generation for Generalist Humanoid Control

On the Condition Number Dependency in Bilevel Optimization

One Lens, Many Worlds : A Capability-Typed Interface for World-Model Interpretability

One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA

Open Korean Corpora: A Practical Report

Optimality of FSQ Tokens for Continuous Diffusion for Categorical Data with Application to Text-to-Speech

Optimizing 2D Input Representations and Sub-phase Fusion Strategies for Differential Diagnosis of Asthma and COPD Using CNN- and GRU-Based Networks

Optuna Constrained Tree-Structured Parzen Estimator Is a Joint Density Generalization of c-TPE

Ora, lege, relege...

Overlapped Wavelet Diffusion for Low-Light Image Enhancement

Parity Cross-Resonance: A Multiqubit Gate

PathRelax: Parallel-Path Relaxed Speculative Jacobi Decoding for Accelerating Auto-Regressive Text-to-Image Generation

Patient-Level Diagnosis of Acute Myeloid Leukemia via Deep Learning Analysis of Bone Marrow Smear

PENet+: A Lightweight Residual Transformer Framework for Efficient Image Steganalysis

PF-Trans: Physics-Embedded Frequency-Aware Transformer for Spectral Reconstruction

PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models

Population-Aware Physics-Informed Neural Particle Flow for Bayesian Update

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem

Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports

Predicting Future Behaviors in Reasoning Models Enables Better Steering

Predictive Assistance and the Temporal Dynamics of Exploratory Compression

Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language Models

PRISM: Parallel Residual Iterative Sequence Model

PrismAvatar: Pseudo-Multiview Reconstruction and Subpixel Prism Rendering for Real-Time Stereoscopic Communication

Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice

Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data Curation

Provenance Tracking in AI Compilers through the Lens of Coalgebra

Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence

QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning

Range Penalization: Theoretical Insights with Applications in Federated Learning

RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty

Representation-Aware Advantage Estimation: Your Reward Model Provides More Than A Scalar Output

Rethinking the Flow-Based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective