127,664Total entries

60Added by human

127,604Found by agent

13Categories

Knowledge catalogue

Search: “models”

78,099 results

Safety

Influencer Cartels

DGX agent

arXiv:2405.10231v3 Announce Type: replace-cross Abstract: Social media influencers account for a growing share of marketing worldwide. We demonstrate the existence of a novel form of market failure in

safetyarxiv-cs-lg

23 Jun 2026

Research

Integrated Marketing Attribution: A Bayesian Framework for Privacy-Safe Granular Measurement Anchored in MMM

DGX agent

arXiv:2606.16878v3 Announce Type: replace Abstract: Retail marketing measurement increasingly requires granular campaign-level insights without relying on user-level tracking. However, the two dominan

Search: “models”

Influencer Cartels

Integrated Marketing Attribution: A Bayesian Framework for Privacy-Safe Granular Measurement Anchored in MMM

ITNet: A Learnable Integral Transform That Subsumes Convolution, Attention, and Recurrence

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation

KITE: Decoupling Kinematics and Interaction for Zero-Shot Cross-Embodiment Manipulation

LEViL: Label-Efficient Video Learning via Zero-Shot Distillation over VLM-Generated Pseudo-Label Spaces

LLM-Guided Test-Time Discovery of Quantum-Chemical Approximation Algorithms

LOLLA: Deep Reinforcement Learning for Closed-Loop Link Adaptation Towards a GPU-Accelerated AI-RAN

LSTM Variants for Chaotic Dynamical Systems: An Empirical Study on the Lorenz Attractor

LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression

MeshFlow: Mesh Generation with Equivariant Flow Matching

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning

Odoriko: A Shape-Aware Multimodal Diffusion Framework for Human Motion

Omega: Operator-based Mixture Ensemble for Generative Assimilation

On-Manifold Variational Learning with Heat-Kernel Priors

On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning

OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology

Overcoming Imperfect Kinematics in Surgical Robotics Through Sim-to-Real Visuomotor Learning

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture

Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks

RAVEN: Agentic RAG for Automated Vulnerability Repair

Rethinking Molecular Graph Backdoors under Chemistry-aware Admission

Scaling up fine-grained intracranial vessel annotations in computed tomography angiography

Selective Time Series Forecasting via Metalearning

Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBoost Framework with Weather, Calendar, and COVID-19 Indicators

ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging

Simplex-Constrained Sparse Bagging: Transitioning from Uniform Priors to Sparse Posteriors in Ensemble Learning

Specificity- and Calibration-Aware Breast Ultrasound Segmentation via Entropy-Guided Boundary Supervision

SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning

SteerVTE: Seamless Video Text Editing with Style and Glyph Control

Stochastic Signed Distance Processes

Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Networks with Group Lasso Regularization

Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions

SurGE: Surrogate Gradient-guided Evolution for Co-design of Legged Robots with Parallel Elasticity

Synthetic Network Packet Generation through Statistical Learning and Genetic Algorithms

T-Rex: Tactile-Reactive Dexterous Manipulation

TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations

Towards Adaptive Categories: Dimensional Governance for Agentic AI

Universal priors: solving empirical Bayes via Bayesian inference and pretraining

UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation

Visual Geometry Transformer in the Wild: Distractor-Free 3D Reconstruction

ZeroGVC: Zero-Shot Generative Video Compression with Autoregressive Diffusion Priors

A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting

Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems

AI4Land: Scalable Deep Learning for Global High-Resolution Land Use Reconstruction

Artificial Intelligence in Ship Finance: Applications, Opportunities, and a Case Study in AI-Augmented Loan Origination

Bridging the Modality Gap in Forensic Image Retrieval

Capacity-Constrained Online Convex Optimization with Delayed Feedback