Cover Image

A Preliminary Agentic Framework for Matrix Deflation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Goulart, Paimon, Papalexakis, Evangelos E.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Efficiently Generating Multidimensional Calorimeter Data with Tensor Decomposition Parameterization
by: Goulart, Paimon, et al.
Published: (2025)

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

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

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

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

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

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

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)

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

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

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

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

Deflation-Free Optimal Scoring
by: Afroz, Sharmin, et al.
Published: (2026)

Deflated Dynamics Value Iteration
by: Lee, Jongmin, et al.
Published: (2024)

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

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

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

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

Are LLM Uncertainty and Correctness Encoded by the Same Features? A Functional Dissociation via Sparse Autoencoders
by: Patel, Het, et al.
Published: (2026)

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

Explainable Metric Learning for Deflating Data Bias
by: Andrews, Emma, et al.
Published: (2024)

On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
by: Liao, Fangshuo, et al.
Published: (2023)

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

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

AdaPaD: Adaptive Parallel Deflation for PEFT with Self-Correcting Rank Discovery
by: Su, Barbara, et al.
Published: (2026)

Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
by: Ziemann, Ingvar, et al.
Published: (2024)

Deflation-PINNs: Learning Multiple Solutions for PDEs and Landau-de Gennes
by: Disarò, Sean, et al.
Published: (2026)

A Preliminary Framework for Intersectionality in ML Pipelines
by: Turcios, Michelle Nashla, et al.
Published: (2025)

Majorization-minimization for Sparse Nonnegative Matrix Factorization with the $β$-divergence
by: Marmin, Arthur, et al.
Published: (2022)

Data-Driven Discovery of Conservation Laws from Trajectories via Neural Deflation
by: Chen, Shaoxuan, et al.
Published: (2024)

Agentic Framework for Epidemiological Modeling
by: Datta, Rituparna, et al.
Published: (2026)

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
by: Lebeau, Hugo, et al.
Published: (2024)

Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA
by: Zhou, Yuchen, et al.
Published: (2023)

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise
by: Li, Keyi, et al.
Published: (2025)

Provable Model-Parallel Distributed Principal Component Analysis with Parallel Deflation
by: Liao, Fangshuo, et al.
Published: (2025)

Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors
by: Gurav, Rutuja, et al.
Published: (2024)