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Search: “framework”

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Applications

Neural Statistical Functions

DGX agent

arXiv:2605.11327v1 Announce Type: new Abstract: Classical deep learning typically operates on individual cases. Despite its success, real-world usage often requires repeated inference to estimate stat

applicationsarxiv-cs-lg

13 May 2026

Applications

NOFE -- Neural Operator Function Embedding

DGX agent

arXiv:2605.11970v1 Announce Type: new Abstract: Most dimensionality reduction methods treat data as discrete point clouds, ignoring the continuous domain structure inherent to many real-world processe

Search: “framework”

Neural Statistical Functions

NOFE -- Neural Operator Function Embedding

Offline Policy Evaluation for Manipulation Policies via Discounted Liveness Formulation

OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning

OmniHumanoid: Streaming Cross-Embodiment Video Generation with Paired-Free Adaptation

OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation

On Predicting the Post-training Potential of Pre-trained LLMs

One-Step Generative Modeling via Wasserstein Gradient Flows

Online Learning-to-Defer with Varying Experts

Optimistic Dual Averaging Unifies Modern Optimizers

ORCE: Order-Aware Alignment of Verbalized Confidence in Large Language Models

OTT-Vid: Optimal Transport Temporal Token Compression for Video Large Language Models

Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models

OverNaN: NaN-Aware Oversampling for Imbalanced Learning with Meaningful Missingness

Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion

PairDropGS: Paired Dropout-Induced Consistency Regularization for Sparse-View Gaussian Splatting

PD-4DGS:Progressive Decomposition of 4D Gaussian Splatting for Bandwidth-Adaptive Dynamic Scene Streaming

Physics-Informed Graph Neural Networks for Frequency-Aware Optical Aberration Correction

PointForward: Feedforward Driving Reconstruction through Point-Aligned Representations

PoseBridge: Bridging the Skeletonization Gap for Zero-Shot Skeleton-Based Action Recognition

Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling

Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation

Principled Latent Diffusion for Graphs via Laplacian Autoencoders

PRISM: Pareto-Efficient Retrieval over Intent-Aware Structured Memory for Long-Horizon Agents

Probing Non-Equilibrium Grain Boundary Dynamics with XPCS and Domain-Adaptive Machine Learning

Quantifying the Reconstructability of Astrophysical Methods with Large Language Models and Information Theory: A Case Study in Spectral Reconstruction

Random-Set Graph Neural Networks

READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling

ReAD: Reinforcement-Guided Capability Distillation for Large Language Models

Real-Time Whole-Body Teleoperation of a Humanoid Robot Using IMU-Based Motion Capture with Sim2Sim and Sim2Real Validation

RealDiffusion: Physics-informed Attention for Multi-character Storybook Generation

Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting

Resilient Vision-Tabular Multimodal Learning under Modality Missingness

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition

Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction

Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning

RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning

RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction

Robust Biomedical Publication Type and Study Design Classification with Knowledge-Guided Perturbations

Robust Policy Optimization to Prevent Catastrophic Forgetting

Rollbot: a Spherical Robot Driven by a Single Actuator

ROMER: Expert Replacement and Router Calibration for Robust MoE LLMs on Analog Compute-in-Memory Systems

Safety-Oriented Evaluation of Language Understanding Systems for Air Traffic Control

SAGE: Scalable Automated Robustness Augmentation for LLM Knowledge Evaluation

Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons

ScribbleDose: Scribble-Guided Dose Prediction in Radiotherapy

See the past: Time-Reversed Scene Reconstruction from Thermal Traces Using Visual Language Models

Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation