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Research

Hybrid Neural World Models

DGX agent

arXiv:2605.28317v1 Announce Type: cross Abstract: Neural surrogates promise large speedups over classical solvers for physical dynamics but fail silently at sharp dynamical events such as shocks, fron

researcharxiv-cs-ai

28 May 2026

Research

Implicit Regularization in Perturbed Deep Matrix Factorization: Spectral Conditions and Stability

DGX agent

Search: “research”

Hybrid Neural World Models

Implicit Regularization in Perturbed Deep Matrix Factorization: Spectral Conditions and Stability

Improving Evaluation of Recombination-based Cartesian Genetic Programming

Improving Requirements Classification with SMOTE-Tomek Preprocessing

Inducing Calmness With Pocket-Sized Robotics: Reducing Movement and Heart Rate in Children through Hand-Held Tactile Interactions

InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training

Integrated Exploration-Aware UAV Route Optimization and Path Planning

Intra-YOLO: A Small Object Detection Model for Caries and Molar-Incisor Hypomineralization in Intraoral Photography Based on Transfer Learning with Reinforcement Learning

IRPO: Boosting Image Restoration via Post-training GRPO

Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency

Isometry pursuit

Iterative Causal Discovery: Per-Edge Impossibility Certificates, Tier-Aware Oracle Queries, and the 1+K Lower Bound

Knowledge Dependency Estimation for Reliable Question Answering

La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching

LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation

Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States

Latent Diffusion for Missing Data

Learning Logical Operations for Arbitrary Quantum Error Correction Codes

Learning Tangent Bundles and Characteristic Classes with Autoencoder Atlases

Learning Theory of the SVRG: Generalization and Convergence Analysis

Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation

Learning What to Recommend: Minimax Optimal Simple Regret in Logistic Bandits

LiDDA: Data Driven Attribution at LinkedIn

Ligand-Conditioned Discrete Diffusion for Protein Sequence-Structure Co-Design

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement

Look on Demand: A Cognitive Scheduling Framework for Visual Evidence Acquisition in Multimodal Reasoning

LoSATok: Low-dimensional Semantic-Acoustic Tokenizer for Cross-Domain Audio Understanding and Generation

LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts

Machine Learning methods for event classification and vertex reconstruction of the 12C + 12C reaction with the MATE-TPC

Magnet-Based Soft Robotic Skin Using a 3D-Printed Multi-Lattice Structure and CNN-Based Tactile Super-Resolution

MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation

Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMs

Memory-Based vs. Context-Only Conditioning Produces Distinct Behavioral Patterns in Stateful Personalization

MERIT: Matching Expertise via Rubric-Informed Training for Reviewer Assignment

Metric-Aware PCA as a Linear Instance of Geometric Deep Learning

MGRetrieval: Memory-Guided Reflective Retrieval for Long-Term Dialogue Agents

Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations

Multi-Mixer Models: Flexible Sequence Modeling with Shared Representations

Natural Functional Gradients for Smooth Trajectory Optimization

Natural Locomotion: Principle and Method

Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations

Neural Weight Compression for Language Models

Next-Scale Autoregressive Models for Text-to-Motion Generation

Noise Scheduling as Information-Guided Allocation in Diffusion Training

Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for Anomaly Segmentation

NUCLEUS-MoE: Unified Model of Pool Boiling for Liquid Cooling

Object-Centric Vision Token Pruning for Vision Language Models