:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Jatavallabha, Aravinda, Gerlach, Jacob, Naresh, Aadithya
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2408.02802
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
por: Jatavallabha, Aravinda, et al.
Publicado: (2025)

Tesla's Autopilot: Ethics and Tragedy
por: Jatavallabha, Aravinda
Publicado: (2024)

Discrete State Diffusion Models: A Sample Complexity Perspective
por: Srikanth, Aadithya, et al.
Publicado: (2025)

Analysis of Ethnic Disparities in Autism Spectrum Disorder among Toddlers
por: Ramaharsha, Aadithya Prabha, et al.
Publicado: (2026)

Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
por: Gerlach, Thore, et al.
Publicado: (2025)

Insights into Closed-form IPM-GAN Discriminator Guidance for Diffusion Modeling
por: Srikanth, Aadithya, et al.
Publicado: (2023)

Deciphering Acoustic Emission with Machine Learning
por: Berta, Dénes, et al.
Publicado: (2024)

Unified Explanations in Machine Learning Models: A Perturbation Approach
por: Dineen, Jacob, et al.
Publicado: (2024)

DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning
por: Bekdache, Omar, et al.
Publicado: (2025)

Machine Learning for Two-Stage Graph Sparsification for the Travelling Salesman Problem
por: Lin, Bo-Cheng, et al.
Publicado: (2026)

EdgeMask-DG*: Learning Domain-Invariant Graph Structures via Adversarial Edge Masking
por: Bhattacharya, Rishabh, et al.
Publicado: (2026)

ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis
por: Manatkar, Abhijit, et al.
Publicado: (2024)

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
por: Heese, Raoul, et al.
Publicado: (2023)

Benchmarking Scientific Machine Learning Models for Air Quality Data
por: Masud, Khawja Imran, et al.
Publicado: (2026)

DFORD: Directional Feedback based Online Ordinal Regression Learning
por: Manwani, Naresh, et al.
Publicado: (2025)

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem
por: Fan, Mingfeng, et al.
Publicado: (2025)

FuXi-Air: Urban Air Quality Forecasting Based on Emission-Meteorology-Pollutant multimodal Machine Learning
por: Geng, Zhixin, et al.
Publicado: (2025)

WARP-LUTs -- Walsh-Assisted Relaxation for Probabilistic Look Up Tables
por: Gerlach, Lino, et al.
Publicado: (2025)

WARP Logic Neural Networks
por: Gerlach, Lino, et al.
Publicado: (2026)

Predicting Air Pollution in Cork, Ireland Using Machine Learning
por: Rashidunnabi, Md, et al.
Publicado: (2025)

Machine Learning Algorithms: Detection Official Hajj and Umrah Travel Agency Based on Text and Metadata Analysis
por: Uriawan, Wisnu, et al.
Publicado: (2025)

Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations
por: Igebaria, Reda, et al.
Publicado: (2024)

A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations With Associated Prediction Intervals
por: Berrisford, Liam J, et al.
Publicado: (2024)

Achieving Fair PCA Using Joint Eigenvalue Decomposition
por: Rathore, Vidhi, et al.
Publicado: (2025)

An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
por: Zeng, Taihelong, et al.
Publicado: (2025)

Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learning
por: Kumar, Naresh, et al.
Publicado: (2024)

Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security
por: Nokhiz, Pegah, et al.
Publicado: (2025)

PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors
por: Dehdashtian, Sepehr, et al.
Publicado: (2025)

The State of Julia for Scientific Machine Learning
por: Berman, Edward, et al.
Publicado: (2024)

Air Quality Forecasting Using Machine Learning: A Global perspective with Relevance to Low-Resource Settings
por: Christian, Mulomba Mukendi, et al.
Publicado: (2024)

Using Machine Learning in Analyzing Air Quality Discrepancies of Environmental Impact
por: Wang, Shuangbao Paul, et al.
Publicado: (2025)

Predicting Air Temperature from Volumetric Urban Morphology with Machine Learning
por: Kıvılcım, Berk, et al.
Publicado: (2025)

Robustness of Decentralised Learning to Nodes and Data Disruption
por: Palmieri, Luigi, et al.
Publicado: (2024)

Forecasting Supply Chain Disruptions with Foresight Learning
por: Turtel, Benjamin, et al.
Publicado: (2026)

The Balancing Act of Policies in Developing Machine Learning Explanations
por: Tjaden, Jacob
Publicado: (2025)

Using Low-Discrepancy Points for Data Compression in Machine Learning: An Experimental Comparison
por: Göttlich, Simone, et al.
Publicado: (2024)

Efficient Bit Labeling in Factorization Machines with Annealing for Traveling Salesman Problem
por: Koshikawa, Shota, et al.
Publicado: (2024)

Link Representation Learning for Probabilistic Travel Time Estimation
por: Xu, Chen, et al.
Publicado: (2024)

Multimodal Trajectory Representation Learning for Travel Time Estimation
por: Liu, Zhi, et al.
Publicado: (2025)

When Brain Networks Travel: Learning Beyond Site
por: Wang, Yingxu, et al.
Publicado: (2026)