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Research

Normalizing Trajectory Models

DGX agent

arXiv:2605.08078v1 Announce Type: new Abstract: Diffusion-based models decompose sampling into many small Gaussian denoising steps -- an assumption that breaks down when generation is compressed to a

researcharxiv-cs-cv

11 May 2026

Research

Not All Tokens Need 40 Steps: Heterogeneous Step Allocation in Diffusion Transformers for Efficient Video Generation

DGX agent

Search: “research”

Normalizing Trajectory Models

Not All Tokens Need 40 Steps: Heterogeneous Step Allocation in Diffusion Transformers for Efficient Video Generation

NSPOD: acceleratingthe convergence ofKrylov-based iterative linearsolvers via approximated PODs

Nurnberg NLP at PsyDefDetect: Multi-Axis Voter Ensembles for Psychological Defence Mechanism Classification

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics

On the Complexity of the Matching Problem of Regular Expressions with Backreferences

On the Divergence of Differential Temporal Difference Learning without Local Clocks

On the Robustness of Distribution Support under Diffusion Guidance

On the Role of Strain and Vorticity in Numerical Integration Error for Flow Matching

Online Goal Recognition using Path Signature and Dynamic Time Warping

Online Localized Conformal Prediction

Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models

OphEdit: Training-Free Text-Guided Editing of Ophthalmic Surgical Videos

Optimising MFCC parameters for the automatic detection of respiratory diseases

Overview of the TREC 2025 RAGTIME Track

Parallel Lifted Planning via Semi-Naive Datalog Evaluation

Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems

PersonaGest: Personalized Co-Speech Gesture Generation with Semantic-Guided Hierarchical Motion Representation

PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction

Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning

Physics-Informed Reduced-Order Operator Learning for Hyperelasticity in Continuum Micromechanics

PicoEyes: Unified Gaze Estimation Framework for Mixed Reality with a Large-Scale Multi-View Dataset

PISTO: Proximal Inference for Stochastic Trajectory Optimization

PolarAdamW: Disentangling Spectral Control and Schur Gauge-Equivariance in Matrix Optimisation

PolySQL: Scaling Text-to-SQL Evaluation Across SQL Dialects via Automated Backend Isomorphism

PPI-Net connects molecular protein interactions to functional processes in disease

Pre-trained Tabular Foundation Models as Versatile Summary Networks for Neural Posterior Estimation

Pre-training Enables Extraordinary All-optical Image Denoising

Pretty Good Measurement for Radiomics: A Quantum-Inspired Multi-Class Classifier for Lung Cancer Subtyping and Prostate Cancer Risk Stratification

Privately Estimating Black-Box Statistics

ProteinJEPA: Latent prediction complements protein language models

ProtSent: Protein Sentence Transformers

QuadNorm: Resolution-Robust Normalization for Neural Operators

R^3L: Reasoning 3D Layouts from Relative Spatial Relations

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions

Regret-Oracle Complexity Tradeoffs in Agnostic Online Learning

Regulating Branch Parallelism in LLM Serving

Relay Buffer Independent Communication over Pooled HBM for Efficient MoE Inference on Ascend

Reliable Chain-of-Thought via Prefix Consistency

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts

Rethinking Experience Utilization in Self-Evolving Language Model Agents

Retrieval from Within: An Intrinsic Capability of Attention-Based Models

Retrieval Heads are Dynamic

Retrieve, Integrate, and Synthesize: Spatial-Semantic Grounded Latent Visual Reasoning

Revisiting Adam for Streaming Reinforcement Learning

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection

Robust stochastic first order methods in heavy-tailed noise via medoid mini-batch gradient sampling

Saliency-Aware Regularized Quantization Calibration for Large Language Models