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Research

MGI: Member vs Generated Inference

DGX agent

arXiv:2606.23872v1 Announce Type: cross Abstract: As generative models increasingly produce samples that are indistinguishable from human-created content, it becomes difficult to determine whether a g

researcharxiv-cs-ai

24 Jun 2026

Research

Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles

DGX agent

arXiv:2505.02281v3 Announce Type: replace-cross Abstract: This paper explores the performance of a random Gaussian smoothing zeroth-order (ZO) scheme for minimising quasar-convex (QC) and strongly qua

Search: “research”

MGI: Member vs Generated Inference

Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles

Model selection with proper scoring rules on data sets of time series

ModTGCN: Modularity-aware Graph Neural Networks for Text Classification

More than 4.7 million people in the US have lost their Supplemental Nutrition Assistance Program benefits, also known as food stamps, since …

MorfFlex: Handling Rich Morphology

MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network

MotifGen: Spatiotemporal interpolation of misaligned satellite images via multi-source generative modeling, in an application to tropical cyclones

Multilevel Stochastic Plug-and-Play for Sparse-View CT Reconstruction

MuTRAP: Multi-trigger Trojans Attacking Robot Task Planning Systems

NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction

New Bounds for the Last Iterate of the Stochastic subGradient Method

OrbitForge: Text-to-3D Scene Generation via Reconstruction-Anchored Video Synthesis

P-MTP: Efficient Document Parsing via Multi-Token Prediction with Progressive Depth Scaling

Parallel Manifold Steering: Efficient Adaptation of Large Associative Memories via Residual Energy Shaping

Pigeonholing: Bad prompts hurt models to collapse and make mistakes

PORTER: Language-Grounded Event Representations for Portable Structured EHR Foundation Models

Posterior Refinement: Fast Language Generation via Any-Order Flow Maps

Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces

Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence: a multi-cohort retrospective diagnostic accuracy study

Predicting Poets' Origins from Verse: A Computational Analysis of Regional Linguistic Fingerprints in the Complete Tang Poems

Prediction of Viscoelastic Droplet Impact Dynamics Using a Vision Transformer-Based Approach

Prob-BBDM: a Probabilistic Brownian Bridge Diffusion Model for MRI sequence image-to-image translation

Probing the Misaligned Thinking Process of Language Models

Promise and challenges of heart chamber segmentation from non-contrast CT scans using contrastive unpaired image translation: a feasibility study

QC-SMOTE: Quality-Controlled SMOTE for Imbalanced Classification

Quantifying Prior Dominance in RAG Systems

Random coloured digraphs defined by a Markov logic network

Reentrant value fields as delayed coupled reaction-diffusion systems on finite graphs

Relatively Smart: A New Approach for Instance-Optimal Learning

Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining

Robust Dual-Signal Fusion: Hybrid Neuro-Symbolic Gating with Compressed Chain-of-Thought Refinement for Irony Detection in Social Media Texts

S1-Omni-Image: A Unified Model for Scientific Image Understanding, Generation, and Editing

Same Lesson, Different Story: Cross-Lingual Reconstruction of Cultural Narratives in Large Language Models

Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning

Sentence-Level Contextual Entrainment in Large Language Models

Separating Oblivious and Adaptive Models of Variable Selection

Sexualised synthetic personas encode and amplify gendered power asymmetries through voice

Sim-to-Real Betting on the E-Process: Bringing 'simulators' to anytime-valid confidence sequences

SlipSense: Multimodal Sensing for Online Slip Detection in Legged Robots

Spherical-to-ERP Epipolar Rectification for Single-Axis Disparity in 360 Stereo

Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation

Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training

Statistical Foundations of LLM-based A/B Testing: A Surrogacy Framework for Human Causal Inference

Stochastic Expectation Maximization for Robust State-Space Radio Interferometric Imaging

Stripe, Anthropic, and OpenAI are backing an effort to stop respiratory infections

Subtyping patients with chronic disease using longitudinal BMI patterns

Supervise What Survives: Geometry-Guided VLA Adaptation from Synthetic Robot Videos