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Research

Mixed Membership sub-Gaussian Models

DGX agent

arXiv:2604.22633v1 Announce Type: cross Abstract: The Gaussian mixture model is widely used in unsupervised learning, owing to its simplicity and interpretability. However, a fundamental limitation of

researcharxiv-cs-lg

27 Apr 2026

Research

Model Predictive Control of Hybrid Dynamical Systems

DGX agent

arXiv:2604.21989v1 Announce Type: cross Abstract: The problem of controlling hybrid dynamical systems using model predictive control (MPC) is formulated and sufficient conditions for asymptotic stabil

Search: “research”

Mixed Membership sub-Gaussian Models

Model Predictive Control of Hybrid Dynamical Systems

Multi-Token Prediction via Self-Distillation

MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression

Neural Recovery of Historical Lexical Structure in Bantu Languages from Modern Data

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs

Non-Minimal Sampling and Consensus for Prohibitively Large Datasets

NRGS: Neural Regularization for Robust 3D Semantic Gaussian Splatting

Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems

OmniOVCD: Streamlining Open-Vocabulary Change Detection with SAM 3

On Pareto Optimality for Parametric Choice Bandits

Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe

Optimal Lower Bounds for Online Multicalibration

OREN: Octree Residual Network for Real-Time Euclidean Signed Distance Mapping

Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning

Pack only the essentials: Adaptive dictionary learning for kernel ridge regression

PAGaS: Pixel-Aligned 1DoF Gaussian Splatting for Depth Refinement

Performance Anomaly Detection in Athletics: A Benchmarking System with Visual Analytics

Point & Grasp: Flexible Selection of Out-of-Reach Objects Through Probabilistic Cue Integration

PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking

Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization

PreMoE: Proactive Inference for Efficient Mixture-of-Experts

Privacy Leakage via Output Label Space and Differentially Private Continual Learning

PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning

Protect the Brain When Treating the Heart: A Convolutional Neural Network for Detecting Emboli

Quality-Driven Selective Mutation for Deep Learning

Read the Paper, Write the Code: Agentic Reproduction of Social-Science Results

ReLIC-SGG: Relation Lattice Completion for Open-Vocabulary Scene Graph Generation

Removing Sandbagging in LLMs by Training with Weak Supervision

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity

Rethinking Token Pruning for Historical Screenshots in GUI Visual Agents: Semantic, Spatial, and Temporal Perspectives

Revisiting Geometric Obfuscation with Dual Convergent Lines for Privacy-Preserving Image Queries in Visual Localization

Revisiting Neural Activation Coverage for Uncertainty Estimation

RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment

SAMIDARE: Advanced Tracking-by-Segmentation for Dense Scenarios

Segmentation of Gray Matters and White Matters from Brain MRI data

Selective Rotary Position Embedding

Semantic Error Correction and Decoding for Short Block Channel Codes

Sensory-Aware Sequential Recommendation via Review-Distilled Representations

Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions

Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

SS3D: End2End Self-Supervised 3D from Web Videos

SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking

StateX: Enhancing RNN Recall via Post-training State Expansion

STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation

Tell Me Why: Designing an Explainable LLM-based Dialogue System for Student Problem Behavior Diagnosis