Imagen de Portada

Service Preservation from Matching Non-Matching Socks Under Stochastic Loss

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Lazebnik, Teddy
Formato:	Preprint
Publicado:	2026
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields
por: Lazebnik, Teddy
Publicado: (2023)

Evaluating Supply Chain Resilience During Pandemic Using Agent-based Simulation
por: Lazebnik, Teddy
Publicado: (2024)

Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models
por: Lazebnik, Teddy
Publicado: (2024)

The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles
por: Alexi, Ariel, et al.
Publicado: (2023)

Can We Mathematically Spot Possible Manipulation of Results in Research Manuscripts Using Benford's Law?
por: Lazebnik, Teddy, et al.
Publicado: (2023)

High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread
por: Lazebnik, Teddy, et al.
Publicado: (2022)

Detecting LLM-assisted writing in scientific communication: Are we there yet?
por: Lazebnik, Teddy, et al.
Publicado: (2024)

Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection using Survey Data and Predictive Models
por: Lazebnik, Teddy, et al.
Publicado: (2025)

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation
por: Lazebnik, Teddy, et al.
Publicado: (2025)

The Topology of a Family Tree Graph and Its Members' Satisfaction with One Another: A Machine Learning Approach
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Individual Variation Affects Outbreak Magnitude and Predictability in an Extended Multi-Pathogen SIR Model of Pigeons Vising Dairy Farms
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Economical-Epidemiological Analysis of the Coffee Trees Rust Pandemic
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models
por: Taskin, Bilge, et al.
Publicado: (2025)

Melody-Lyrics Matching with Contrastive Alignment Loss
por: Wang, Changhong, et al.
Publicado: (2025)

Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models
por: Shmuel, Assaf, et al.
Publicado: (2024)

An Empirically-parametrized Spatio-Temporal Extended-SIR Model for Combined Dilution and Vaccination Mitigation for Rabies Outbreaks in Wild Jackals
por: Lazebnik, Teddy, et al.
Publicado: (2025)

Flow Matching for Collaborative Filtering
por: Liu, Chengkai, et al.
Publicado: (2025)

Unlocking Crowdsourcing for Ontology Matching Validation
por: Qiang, Zhangcheng
Publicado: (2026)

Fair Reciprocal Recommendation in Matching Markets
por: Tomita, Yoji, et al.
Publicado: (2024)

Flow Matching based Sequential Recommender Model
por: Liu, Feng, et al.
Publicado: (2025)

Learning Image-Text Matching with Optimal Partial Transport
por: Pan, Zhengxin, et al.
Publicado: (2026)

Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective
por: Li, Da, et al.
Publicado: (2025)

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models
por: Liu, Qi, et al.
Publicado: (2024)

Preference Trajectory Modeling via Flow Matching for Sequential Recommendation
por: Li, Li, et al.
Publicado: (2025)

Learning to Retrieve for Job Matching
por: Shen, Jianqiang, et al.
Publicado: (2024)

Co-Matching: Towards Human-Machine Collaborative Legal Case Matching
por: Huang, Chen, et al.
Publicado: (2024)

MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation
por: Kim, Hyunsoo, et al.
Publicado: (2024)

Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
por: Zhang, Yi, et al.
Publicado: (2025)

Enhancing Image-Text Matching with Adaptive Feature Aggregation
por: Wang, Zuhui, et al.
Publicado: (2024)

Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
por: Xiong, Qiushi, et al.
Publicado: (2025)

PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
por: Kweon, Wonbin, et al.
Publicado: (2025)

Parallel and Mini-Batch Stable Matching for Large-Scale Reciprocal Recommender Systems
por: Nakada, Kento, et al.
Publicado: (2024)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
por: Cui, Yu, et al.
Publicado: (2024)

MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search
por: Fan, Miao, et al.
Publicado: (2024)

Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation
por: Ye, Xiaoxin, et al.
Publicado: (2025)

Evaluation on Entity Matching in Recommender Systems
por: Huang, Zihan, et al.
Publicado: (2026)

Understanding Matching Mechanisms in Cross-Encoders
por: Vast, Mathias, et al.
Publicado: (2025)

Mathematical model of dating apps influence on sexually transmitted diseases spread
por: Lazebnik, Teddy
Publicado: (2023)

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance
por: Jiang, Hengjun, et al.
Publicado: (2026)