Wave Physics-informed Matrix Factorizations
Fuente:
arXiv
Guardado en:
| Autores principales: | Tetali, Harsha Vardhan, Harley, Joel B., Haeffele, Benjamin D. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process
por: Williams, Bernardo, et al.
Publicado: (2026)
por: Williams, Bernardo, et al.
Publicado: (2026)
Interpretable Predictive Models for Healthcare via Rational Logistic Regression
por: Suttaket, Thiti, et al.
Publicado: (2024)
por: Suttaket, Thiti, et al.
Publicado: (2024)
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
por: Mandalika, Sriram, et al.
Publicado: (2025)
por: Mandalika, Sriram, et al.
Publicado: (2025)
Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring
por: Khurjekar, Ishan D., et al.
Publicado: (2020)
por: Khurjekar, Ishan D., et al.
Publicado: (2020)
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
por: Tadipatri, Uday Kiran Reddy, et al.
Publicado: (2024)
por: Tadipatri, Uday Kiran Reddy, et al.
Publicado: (2024)
Learning Rate Scheduling with Matrix Factorization for Private Training
por: Kalinin, Nikita P., et al.
Publicado: (2025)
por: Kalinin, Nikita P., et al.
Publicado: (2025)
Impact of Label Noise on Learning Complex Features
por: Vashisht, Rahul, et al.
Publicado: (2024)
por: Vashisht, Rahul, et al.
Publicado: (2024)
Nonconvex Linear System Identification with Minimal State Representation
por: Tadipatri, Uday Kiran Reddy, et al.
Publicado: (2025)
por: Tadipatri, Uday Kiran Reddy, et al.
Publicado: (2025)
Maximum a Posteriori Inference for Factor Graphs via Benders' Decomposition
por: Dubey, Harsh Vardhan, et al.
Publicado: (2024)
por: Dubey, Harsh Vardhan, et al.
Publicado: (2024)
Feature-Wise Mixing for Mitigating Contextual Bias in Predictive Supervised Learning
por: Tomar, Yash Vardhan
Publicado: (2025)
por: Tomar, Yash Vardhan
Publicado: (2025)
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
por: Wu, Ziyang, et al.
Publicado: (2024)
por: Wu, Ziyang, et al.
Publicado: (2024)
Anomaly Detection and Improvement of Clusters using Enhanced K-Means Algorithm
por: Shorewala, Vardhan, et al.
Publicado: (2025)
por: Shorewala, Vardhan, et al.
Publicado: (2025)
Unsupervised Learning: Comparative Analysis of Clustering Techniques on High-Dimensional Data
por: Baligodugula, Vishnu Vardhan, et al.
Publicado: (2025)
por: Baligodugula, Vishnu Vardhan, et al.
Publicado: (2025)
Collaborative Compressors in Distributed Mean Estimation with Limited Communication Budget
por: Vardhan, Harsh, et al.
Publicado: (2026)
por: Vardhan, Harsh, et al.
Publicado: (2026)
Tailed Low-Rank Matrix Factorization for Similarity Matrix Completion
por: Ma, Changyi, et al.
Publicado: (2024)
por: Ma, Changyi, et al.
Publicado: (2024)
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
por: Chu, Tianzhe, et al.
Publicado: (2023)
por: Chu, Tianzhe, et al.
Publicado: (2023)
Learning and Generalization with Mixture Data
por: Vardhan, Harsh, et al.
Publicado: (2025)
por: Vardhan, Harsh, et al.
Publicado: (2025)
ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms
por: Manohar, Magdalen Dobson, et al.
Publicado: (2023)
por: Manohar, Magdalen Dobson, et al.
Publicado: (2023)
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
por: Bai, Zhiwei, et al.
Publicado: (2024)
por: Bai, Zhiwei, et al.
Publicado: (2024)
NurseSchedRL: Attention-Guided Reinforcement Learning for Nurse-Patient Assignment
por: Koduri, Harsha
Publicado: (2025)
por: Koduri, Harsha
Publicado: (2025)
An Exterior Method for Nonnegative Matrix Factorization
por: Lu, Qiujing, et al.
Publicado: (2026)
por: Lu, Qiujing, et al.
Publicado: (2026)
Meta-Continual Mobility Forecasting for Proactive Handover Prediction
por: Mandapati, Sasi Vardhan Reddy
Publicado: (2025)
por: Mandapati, Sasi Vardhan Reddy
Publicado: (2025)
GenPlan: Generative Sequence Models as Adaptive Planners
por: Karthikeyan, Akash, et al.
Publicado: (2024)
por: Karthikeyan, Akash, et al.
Publicado: (2024)
DiffFP: Learning Behaviors from Scratch via Diffusion-based Fictitious Play
por: Karthikeyan, Akash, et al.
Publicado: (2025)
por: Karthikeyan, Akash, et al.
Publicado: (2025)
An Overview of Low-Rank Structures in the Training and Adaptation of Large Models
por: Balzano, Laura, et al.
Publicado: (2025)
por: Balzano, Laura, et al.
Publicado: (2025)
Nonnegative Matrix Factorization through Cone Collapse
por: Nguyen, Manh, et al.
Publicado: (2025)
por: Nguyen, Manh, et al.
Publicado: (2025)
Block-Based Double Decoders
por: Labovich, Asher, et al.
Publicado: (2026)
por: Labovich, Asher, et al.
Publicado: (2026)
Adaptformer: Sequence models as adaptive iterative planners
por: Karthikeyan, Akash, et al.
Publicado: (2024)
por: Karthikeyan, Akash, et al.
Publicado: (2024)
Improved Accuracy for Private Continual Cardinality Estimation in Fully Dynamic Streams via Matrix Factorization
por: Andersson, Joel Daniel, et al.
Publicado: (2026)
por: Andersson, Joel Daniel, et al.
Publicado: (2026)
Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey
por: Saberi-Movahed, Farid, et al.
Publicado: (2024)
por: Saberi-Movahed, Farid, et al.
Publicado: (2024)
Federated Binary Matrix Factorization using Proximal Optimization
por: Dalleiger, Sebastian, et al.
Publicado: (2024)
por: Dalleiger, Sebastian, et al.
Publicado: (2024)
Privacy-preserving Non-negative Matrix Factorization with Outliers
por: Saha, Swapnil, et al.
Publicado: (2022)
por: Saha, Swapnil, et al.
Publicado: (2022)
Towards a Fairer Non-negative Matrix Factorization
por: Kassab, Lara, et al.
Publicado: (2024)
por: Kassab, Lara, et al.
Publicado: (2024)
Improving Selective Classification with Pairwise Queries for Binary Classification
por: Vardhan, Harsh, et al.
Publicado: (2026)
por: Vardhan, Harsh, et al.
Publicado: (2026)
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies
por: Vardhan, Harsh, et al.
Publicado: (2025)
por: Vardhan, Harsh, et al.
Publicado: (2025)
LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations
por: Vardhan, Harsh, et al.
Publicado: (2025)
por: Vardhan, Harsh, et al.
Publicado: (2025)
Doubly Non-Central Beta Matrix Factorization for Stable Dimensionality Reduction of Bounded Support Matrix Data
por: Albert, Anjali N., et al.
Publicado: (2024)
por: Albert, Anjali N., et al.
Publicado: (2024)
Scaling Kinetic Monte-Carlo Simulations of Grain Growth with Combined Convolutional and Graph Neural Networks
por: Tian, Zhihui, et al.
Publicado: (2025)
por: Tian, Zhihui, et al.
Publicado: (2025)
Sharpness of Minima in Deep Matrix Factorization
por: Kamber, Anil, et al.
Publicado: (2025)
por: Kamber, Anil, et al.
Publicado: (2025)
A Unified Matrix Factorization Framework for Classical and Robust Clustering
por: Majumdar, Angshul
Publicado: (2025)
por: Majumdar, Angshul
Publicado: (2025)
Ejemplares similares
-
Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process
por: Williams, Bernardo, et al.
Publicado: (2026) -
Interpretable Predictive Models for Healthcare via Rational Logistic Regression
por: Suttaket, Thiti, et al.
Publicado: (2024) -
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
por: Mandalika, Sriram, et al.
Publicado: (2025) -
Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring
por: Khurjekar, Ishan D., et al.
Publicado: (2020) -
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
por: Tadipatri, Uday Kiran Reddy, et al.
Publicado: (2024)