Cover Image

Efficiently Generating Multidimensional Calorimeter Data with Tensor Decomposition Parameterization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Goulart, Paimon, Pakala, Shaan, Papalexakis, Evangelos
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tensor Completion for Surrogate Modeling of Material Property Prediction
by: Pakala, Shaan, et al.
Published: (2025)

Can a Large Language Model Learn Matrix Functions In Context?
by: Goulart, Paimon, et al.
Published: (2024)

A Preliminary Agentic Framework for Matrix Deflation
by: Goulart, Paimon, et al.
Published: (2026)

Tensor Methods: A Unified and Interpretable Approach for Material Design
by: Pakala, Shaan, et al.
Published: (2026)

Surrogate Modeling for the Design of Optimal Lattice Structures using Tensor Completion
by: Pakala, Shaan, et al.
Published: (2025)

Automating Data Science Pipelines with Tensor Completion
by: Pakala, Shaan, et al.
Published: (2024)

Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods
by: Goulart, Paimon, et al.
Published: (2026)

Preliminary Use of Vision Language Model Driven Extraction of Mouse Behavior Towards Understanding Fear Expression
by: Goulart, Paimon, et al.
Published: (2025)

SamBaTen: Sampling-based Batch Incremental Tensor Decomposition
by: Gujral, Ekta, et al.
Published: (2017)

Global and Local Structure Learning for Sparse Tensor Completion
by: Ahn, Dawon, et al.
Published: (2025)

FRAPPE: $\underline{\text{F}}$ast $\underline{\text{Ra}}$nk $\underline{\text{App}}$roximation with $\underline{\text{E}}$xplainable Features for Tensors
by: Shiao, William, et al.
Published: (2022)

Multi-view Graph Condensation via Tensor Decomposition
by: Santos, Nícolas Roque dos, et al.
Published: (2025)

Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation
by: Ahn, Dawon, et al.
Published: (2025)

Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition
by: Chen, Tiejin, et al.
Published: (2026)

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection
by: Li, Jerry, et al.
Published: (2025)

Multi-View Spectral Clustering for Graphs with Multiple View Structures
by: Tsitsikas, Yorgos, et al.
Published: (2025)

Extracting and Analyzing Rail Crossing Behavior Signatures from Videos using Tensor Methods
by: Ahn, Dawon, et al.
Published: (2026)

Efficient Nonparametric Tensor Decomposition for Binary and Count Data
by: Tao, Zerui, et al.
Published: (2024)

Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data
by: Larsen, Brett W., et al.
Published: (2024)

Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation
by: Qi, Jun, et al.
Published: (2025)

ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks
by: Luo, Yiran, et al.
Published: (2025)

TensorGRaD: Tensor Gradient Robust Decomposition for Memory-Efficient Neural Operator Training
by: Loeschcke, Sebastian, et al.
Published: (2025)

Discrete Stochastic Localization for Non-autoregressive Generation
by: Wu, Yunshu, et al.
Published: (2026)

Mild Over-Parameterization Benefits Asymmetric Tensor PCA
by: Ding, Shihong, et al.
Published: (2026)

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
by: Fang, Shikai, et al.
Published: (2023)

Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
by: Wu, Yunshu, et al.
Published: (2024)

Generalized Canonical Polyadic Tensor Decompositions with General Symmetry
by: Mulrooney, Alex, et al.
Published: (2026)

Graph Neural Networks for Interferometer Simulations
by: Kannan, Sidharth, et al.
Published: (2025)

The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data
by: Hood, John, et al.
Published: (2024)

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023)

Spectral Regularization for Diffusion Models
by: Chandran, Satish, et al.
Published: (2026)

Discrete Stochastic Localization for Non-autoregressive Generation
by: Wu, Yunshu, et al.
Published: (2026)

Additive Tensor Decomposition Considering Structural Data Information
by: Mou, Shancong, et al.
Published: (2020)

Data Quality Monitoring for the Hadron Calorimeters Using Transfer Learning for Anomaly Detection
by: Asres, Mulugeta Weldezgina, et al.
Published: (2024)

Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
by: Baghershahi, Peyman, et al.
Published: (2022)

Tensor Dynamic Mode Decomposition
by: He, Ziqin, et al.
Published: (2025)

Functional Complexity-adaptive Temporal Tensor Decomposition
by: Chen, Panqi, et al.
Published: (2025)

Representational Alignment Across Model Layers and Brain Regions with Multi-Level Optimal Transport
by: Shah, Shaan, et al.
Published: (2025)

Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms
by: Borsoi, Ricardo Augusto, et al.
Published: (2024)

Provably Efficient Algorithms for S- and Non-Rectangular Robust MDPs with General Parameterization
by: Satheesh, Anirudh, et al.
Published: (2026)