Cover Image

Fast Dual-Regularized Autoencoder for Sparse Biological Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Poleksic, Aleksandar
Format:	Preprint
Published:	2024
Subjects:	Machine Learning 92C42 J.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation Prediction
by: Qiu, Mufan, et al.
Published: (2026)

Coclique level structure for stochastic chemical reaction networks
by: Bruno, Simone, et al.
Published: (2025)

The Value Sensitivity Gap: How Clinical Large Language Models Respond to Patient Preference Statements in Shared Decision-Making
by: Basu, Sanjay
Published: (2026)

A reaction network model of microscale liquid-liquid phase separation reveals effects of spatial dimension
by: Kim, Jinyoung, et al.
Published: (2024)

Calibration of stochastic, agent-based neuron growth models with Approximate Bayesian Computation
by: Duswald, Tobias, et al.
Published: (2024)

MetaGEM: Bottom-Up Reconstruction of Genome-Scale Metabolic Networks via Deep Enzyme-Metabolite Anchoring
by: Xiao, Weiyu, et al.
Published: (2026)

Convolutional Neural Network and Adversarial Autoencoder in EEG images classification
by: Nasybullin, Albert, et al.
Published: (2026)

Monte Carlo Expected Threat (MOCET) Scoring
by: Kim, Joseph, et al.
Published: (2025)

Identifiability of SDEs for reaction networks
by: Faul, Louis, et al.
Published: (2025)

Methodological Precedence in Health Tech: Why ML/Big Data Analysis Must Follow Basic Epidemiological Consistency. A Case Study
by: Roccetti, Marco
Published: (2025)

MixINN: Accelerating Plant Breeding by Combining Mixed Models and Deep Learning for Interaction Prediction
by: Potze, Aike, et al.
Published: (2026)

Quantifying spike train synchrony and directionality: Measures and Applications
by: Kreuz, Thomas
Published: (2025)

DMMRL: Disentangled Multi-Modal Representation Learning via Variational Autoencoders for Molecular Property Prediction
by: Xu, Long, et al.
Published: (2026)

Reaction cleaving and complex-balanced distributions for chemical reaction networks with general kinetics
by: Hoessly, Linard, et al.
Published: (2023)

Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
by: Zhang, Ray Zirui, et al.
Published: (2023)

Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2024)

DNAHLM -- DNA sequence and Human Language mixed large language Model
by: Liang, Wang
Published: (2024)

How does the brain compute with probabilities?
by: Haefner, Ralf M., et al.
Published: (2024)

How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data
by: Nasybullin, Albert, et al.
Published: (2026)

Optimal transport for automatic alignment of untargeted metabolomic data
by: Breeur, Marie, et al.
Published: (2023)

uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm
by: Hamami, Hagai, et al.
Published: (2025)

Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks
by: Farrington, Joseph, et al.
Published: (2024)

Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine
by: Zeng, Jingqi, et al.
Published: (2024)

Algebraic approaches for the decomposition of reaction networks and the determination of existence and number of steady states
by: Sauder, Joseph M., et al.
Published: (2025)

Dynamics of Reaction-Diffusion-Advection System and its Impact on River Ecology in the Presence of Spatial Heterogeneity I
by: Kamrujjaman, Md., et al.
Published: (2024)

PlayMolecule pKAce: Small Molecule Protonation through Equivariant Neural Networks
by: Schapin, Nikolai, et al.
Published: (2024)

Bridging two theoretical frameworks of autocatalysis: RAF sets and stoichiometric autocatalysis
by: Golnik, Richard, et al.
Published: (2026)

An introduction to random rule-based chemical networks
by: Unterberger, Jeremie
Published: (2025)

Latency correction in sparse neuronal spike trains with overlapping global events
by: Mariani, Arturo, et al.
Published: (2024)

Effective Biological Representation Learning by Masking Gene Expression
by: Kenyon-Dean, Kian, et al.
Published: (2026)

Automatic computation of the glycemic index: data driven analysis of the glucose standard
by: Credali, Fabio, et al.
Published: (2025)

Nutrients measured on water bottle samples during Fogo Isle cruise FL92/3
by: Legendre, Louis, et al.
Published: (2013)

The information gain limit of molecular computation
by: Arunachalam, Easun, et al.
Published: (2023)

Mathematical modeling of tumor-immune interactions: methods, applications, and future perspectives
by: Li, Chenghang, et al.
Published: (2025)

Joint trajectory and network inference via reference fitting
by: Zhang, Stephen Y
Published: (2024)

Unifying Weak Independence and Signal Hierarchy Theory: Extended Biological Petri Net Formalism with Application to Vibrio fischeri Quorum Sensing
by: Simao, Eugenio
Published: (2025)

Stochastic ordering tools for continuous-time Markov chains and applications to reaction network models
by: Cappelletti, Daniele, et al.
Published: (2026)

Network inference via process motifs for lagged correlation in linear stochastic processes
by: Schwarze, Alice C., et al.
Published: (2022)

Evolutionary emergent metabolic interactions in cell cultures: A Statistical Mechanics point of view
by: Batista-Tomás, A. R., et al.
Published: (2025)

Best Practices on QSP Model Reporting for Regulatory Use: perspectives from ISoP QSP SIG Working Group
by: Zaph, Susana, et al.
Published: (2026)