:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Sangha, Amandip
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.09991
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Jet Functors and Weil Algebras in Automatic Differentiation: A Geometric Analysis
by: Sangha, Amandip
Published: (2025)

Entropy-Smooth Structures on Topological Manifolds
by: Sangha, Amandip
Published: (2025)

Spectral-Geometric Deformations of Function Algebras on Manifolds
by: Sangha, Amandip
Published: (2025)

An Information-Theoretic Reconstruction of Curvature
by: Sangha, Amandip
Published: (2025)

An Information-Theoretic Route to Isoperimetric Inequalities via Heat Flow and Entropy Dissipation
by: Sangha, Amandip
Published: (2025)

Spectral Fusion Deformations for Locally Compact Quantum Groups
by: Sangha, Amandip
Published: (2026)

Recovering Riemannian Geometry from Diffusion
by: Sangha, Amandip
Published: (2026)

Data Virtualization for Machine Learning
by: Khan, Saiful, et al.
Published: (2025)

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems
by: Rahal, Manal, et al.
Published: (2025)

Generalizable Machine Learning Models for Predicting Data Center Server Power, Efficiency, and Throughput
by: Lei, Nuoa, et al.
Published: (2025)

Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation
by: Vernikos, Giorgos, et al.
Published: (2024)

Rethinking Evaluation Metric for Probability Estimation Models Using Esports Data
by: Choi, Euihyeon, et al.
Published: (2023)

Machine Learning-Driven Crystal System Prediction for Perovskites Using Augmented X-ray Diffraction Data
by: Mathew, Ansu, et al.
Published: (2026)

Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data
by: Pereira, Tomás, et al.
Published: (2026)

Data-Driven Estimation of the interfacial Dzyaloshinskii-Moriya Interaction with Machine Learning
by: Rodrigues, Davi, et al.
Published: (2026)

Robust Server Defense Against Unreliable Clients in One-Shot Fair Collaborative Machine Learning
by: Wu, Chia-Yuan, et al.
Published: (2026)

Estimation of Electronic Band Gap Energy From Material Properties Using Machine Learning
by: Barad, Sagar Prakash, et al.
Published: (2024)

Mitigating Attrition: Data-Driven Approach Using Machine Learning and Data Engineering
by: Vijayan, Naveen Edapurath
Published: (2025)

Data-Driven Prediction of Maternal Nutritional Status in Ethiopia Using Ensemble Machine Learning Models
by: Tessema, Amsalu, et al.
Published: (2025)

CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
by: Wang, Mengdi, et al.
Published: (2025)

Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference
by: Zhang, Zhe, et al.
Published: (2024)

Machine Learning for Modeling Wireless Radio Metrics with Crowdsourced Data and Local Environment Features
by: Qiu, Yifeng, et al.
Published: (2025)

A Data-Driven Predictive Framework for Inventory Optimization Using Context-Augmented Machine Learning Models
by: Fatima, Anees, et al.
Published: (2026)

Condition Monitoring with Machine Learning: A Data-Driven Framework for Quantifying Wind Turbine Energy Loss
by: Buchberg, Emil Marcus, et al.
Published: (2025)

Scalable Reinforcement Learning for Virtual Machine Scheduling
by: Sheng, Junjie, et al.
Published: (2025)

Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
by: Liu, Ji, et al.
Published: (2024)

Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
by: Haug, Tobias, et al.
Published: (2023)

Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation
by: Nguyen, Khoa Tuan, et al.
Published: (2025)

Categorical Data Clustering via Value Order Estimated Distance Metric Learning
by: Zhang, Yiqun, et al.
Published: (2024)

Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation
by: Kalyanasundaram, Abinav, et al.
Published: (2025)

An Entropic Metric for Measuring Calibration of Machine Learning Models
by: Sumler, Daniel James, et al.
Published: (2025)

Enhancing Robustness of Federated Learning via Server Learning
by: Mai, Van Sy, et al.
Published: (2026)

Machine Learning and System Identification for Estimation in Physical Systems
by: Carlson, Fredrik Bagge
Published: (2019)

Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
by: Zhang, Xiao, et al.
Published: (2025)

Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
by: Shumilov, Arseniy, et al.
Published: (2024)

Data-Driven Policy Mapping for Safe RL-based Energy Management Systems
by: Zangato, Theo, et al.
Published: (2025)

Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts
by: Ma, Xiaobo, et al.
Published: (2024)

Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
by: Azkaei, Babak, et al.
Published: (2025)

Noninvasive Intracranial Pressure Estimation Using Subspace System Identification and Bespoke Machine Learning Algorithms: A Learning-to-Rank Approach
by: Zhao, Anni, et al.
Published: (2026)

Combining Physics-based and Data-driven Modeling for Building Energy Systems
by: Von Krannichfeldt, Leandro, et al.
Published: (2024)