Cover Image

Multivariate Gaussian Topic Modelling: A novel approach to discover topics with greater semantic coherence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sahoo, Satyajeet, Maiti, Jhareswar
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

Variance-Adjusted Cosine Distance as Similarity Metric
by: Sahoo, Satyajeet, et al.
Published: (2025)

An Algorithm to perform Covariance-Adjusted Support Vector Classification in Non-Euclidean Spaces
by: Sahoo, Satyajeet, et al.
Published: (2025)

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches
by: Prabhu, Satyajeet
Published: (2025)

A Bayesian approach to modeling topic-metadata relationships
by: Schulze, P., et al.
Published: (2021)

Estimating Causal Effects in Gaussian Linear SCMs with Finite Data
by: Maiti, Aurghya, et al.
Published: (2026)

An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas
by: Li, Yang, et al.
Published: (2024)

WARPD: World model Assisted Reactive Policy Diffusion
by: Hegde, Shashank, et al.
Published: (2024)

A semantic-based deep learning approach for mathematical expression retrieval
by: Perepu, Pavan Kumar
Published: (2025)

The Good, The Bad, and The Hybrid: A Reward Structure Showdown in Reasoning Models Training
by: Sahoo, Subramanyam
Published: (2025)

ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
by: Licht, Martin, et al.
Published: (2025)

A data-driven approach to discover and quantify systemic lupus erythematosus etiological heterogeneity from electronic health records
by: Mota, Marco Barbero, et al.
Published: (2025)

Continual Neural Topic Model
by: James, Charu Karakkaparambil, et al.
Published: (2025)

Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
by: Ebrahimi, Seyedeh Fatemeh, et al.
Published: (2025)

Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians
by: Caballero, William N., et al.
Published: (2024)

Simulation of Multivariate Extremes: a Wasserstein-Aitchison GAN approach
by: Lhaut, Stéphane, et al.
Published: (2025)

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
by: Janez-Martino, F., et al.
Published: (2024)

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
by: Liu, Juncheng, et al.
Published: (2024)

PRISM: PRIor from corpus Statistics for topic Modeling
by: Ishon, Tal, et al.
Published: (2026)

The Double Life of Code World Models: Provably Unmasking Malicious Behavior Through Execution Traces
by: Sahoo, Subramanyam
Published: (2025)

Topic Modeling in Marathi
by: Shinde, Sanket, et al.
Published: (2025)

A novel hybrid approach for positive-valued DAG learning
by: Zhao, Yao
Published: (2026)

A novel k-means clustering approach using two distance measures for Gaussian data
by: Gada, Naitik
Published: (2025)

Clinical semantics for lung cancer prediction
by: John, Luis H., et al.
Published: (2025)

Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
by: Lindemann, Lars, et al.
Published: (2021)

Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation
by: Su, Ye, et al.
Published: (2025)

Deep Multivariate Models with Parametric Conditionals
by: Schlesinger, Dmitrij, et al.
Published: (2026)

An Iterative Approach to Topic Modelling
by: Wong, Albert, et al.
Published: (2024)

Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams
by: Granese, Federica, et al.
Published: (2025)

Relaxed Triangle Inequality for Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
by: Xiao, Shiji, et al.
Published: (2026)

Gated recurrent neural networks discover attention
by: Zucchet, Nicolas, et al.
Published: (2023)

Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?
by: Ejaz, Rahman, et al.
Published: (2024)

Multivariate Gaussian Approximation for Random Forest via Region-based Stabilization
by: Shi, Zhaoyang, et al.
Published: (2024)

Probabilistic Topic Modelling with Transformer Representations
by: Reuter, Arik, et al.
Published: (2024)

Identification of Multivariate Measurement Error Models
by: Hu, Yingyao
Published: (2025)

LimTopic: LLM-based Topic Modeling and Text Summarization for Analyzing Scientific Articles limitations
by: Azhar, Ibrahim Al, et al.
Published: (2025)

A tutorial on discovering and quantifying the effect of latent causal sources of multimodal EHR data
by: Barbero-Mota, Marco, et al.
Published: (2025)

Enhancing lithological interpretation from petrophysical well log of IODP expedition 390/393 using machine learning
by: Sahu, Raj, et al.
Published: (2025)

Long-Term Spatio-Temporal Forecasting of Monthly Rainfall in West Bengal Using Ensemble Learning Approaches
by: Adhikary, Jishu, et al.
Published: (2025)

Provable unlearning in topic modeling and downstream tasks
by: Wei, Stanley, et al.
Published: (2024)

The Jacobian and Hessian of the Kullback-Leibler Divergence between Multivariate Gaussian Distributions (Technical Report)
by: Maroñas, Juan
Published: (2025)