Copertina

Meta-autoencoders: An approach to discovery and representation of relationships between dynamically evolving classes

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Marron, Assaf, Szekely, Smadar, Cohen, Irun, Harel, David
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Populations and Evolution
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Natural Averaging May Complement Known Biological Constraints in Bi-parental Reproduction's Advantages Over Mono-parental in Conserving Species Quantitative Traits
di: Marron, Assaf, et al.
Pubblicazione: (2023)

Drivers of periodicity in population dynamic models of long-lived, large mammals
di: McConnell, Marron, et al.
Pubblicazione: (2025)

Phylo2Vec: a vector representation for binary trees
di: Penn, Matthew J, et al.
Pubblicazione: (2023)

Coevolutionary dynamics of feedback-evolving games in structured populations
di: Wang, Qiushuang, et al.
Pubblicazione: (2025)

Contrastive losses as generalized models of global epistasis
di: Brookes, David H., et al.
Pubblicazione: (2023)

Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees
di: Penn, Matthew J, et al.
Pubblicazione: (2023)

On the Approximation of Phylogenetic Distance Functions by Artificial Neural Networks
di: Rosenzweig, Benjamin K., et al.
Pubblicazione: (2025)

PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
di: Xie, Tianyu, et al.
Pubblicazione: (2025)

The land use-climate change-biodiversity nexus in European islands stakeholders
di: Moustakas, Aristides, et al.
Pubblicazione: (2025)

Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19
di: Komodromos, Zacharias, et al.
Pubblicazione: (2025)

An Ecologically-Informed Deep Learning Framework for Interpretable and Validatable Habitat Mapping
di: Benavides-Martínez, Iván Felipe, et al.
Pubblicazione: (2025)

Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra
di: Amin, Alan N., et al.
Pubblicazione: (2025)

The Price equation reveals a universal force-metric-bias law of algorithmic learning and natural selection
di: Frank, Steven A.
Pubblicazione: (2025)

Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
di: Agyapong, Daniel, et al.
Pubblicazione: (2025)

Deep Generative Models of Evolution: SNP-level Population Adaptation by Genomic Linkage Incorporation
di: Siekiera, Julia, et al.
Pubblicazione: (2025)

Decoding Positive Selection in Mycobacterium tuberculosis with Phylogeny-Guided Graph Attention Models
di: Wang, Linfeng, et al.
Pubblicazione: (2025)

Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
di: Kratz, Josiah C., et al.
Pubblicazione: (2024)

Cross-Country Learning for National Infectious Disease Forecasting Using European Data
di: Komodromos, Zacharias, et al.
Pubblicazione: (2026)

Unsupervised Learning of Phylogenetic Trees via Split-Weight Embedding
di: Kong, Yibo, et al.
Pubblicazione: (2023)

Exploring the Dynamics of Lotka-Volterra Systems: Efficiency, Extinction Order, and Predictive Machine Learning
di: Vafaie, Sepideh, et al.
Pubblicazione: (2024)

A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania
di: Stochiţoiu, Radu D., et al.
Pubblicazione: (2020)

Circuit design in biology and machine learning. II. Anomaly detection
di: Frank, Steven A.
Pubblicazione: (2024)

Conditionally Site-Independent Neural Evolution of Antibody Sequences
di: Lu, Stephen Zhewen, et al.
Pubblicazione: (2026)

Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics
di: Cuong, Dinh Viet, et al.
Pubblicazione: (2024)

PhyloGFN: Phylogenetic inference with generative flow networks
di: Zhou, Mingyang, et al.
Pubblicazione: (2023)

Nested Inheritance Dynamics
di: Moraffah, Bahman
Pubblicazione: (2024)

Generative diffusion models for spatiotemporal influenza forecasting
di: Lemaitre, Joseph, et al.
Pubblicazione: (2026)

Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees
di: Carvallo, Ciro, et al.
Pubblicazione: (2024)

Forecasting infectious disease prevalence with associated uncertainty using neural networks
di: Morris, Michael
Pubblicazione: (2024)

Emergenet: A Digital Twin of Sequence Evolution for Scalable Emergence Risk Assessment of Animal Influenza A Strains
di: Wu, Kevin Yuanbo, et al.
Pubblicazione: (2024)

abx_amr_simulator: A simulation environment for antibiotic prescribing policy optimization under antimicrobial resistance
di: Lee, Joyce, et al.
Pubblicazione: (2026)

Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models
di: Guo, Yiqing, et al.
Pubblicazione: (2023)

Geometric framework for biological evolution
di: Vanchurin, Vitaly
Pubblicazione: (2026)

Phylogenetic Tree Inference with Tropical Axial Attention
di: Teska, Chris, et al.
Pubblicazione: (2026)

Spatio-temporal stochastic graph-based learning for infectious disease forecasting
di: Valenzuela, Luz Stefani Sotomayor, et al.
Pubblicazione: (2026)

Solving the Tree Containment Problem Using Graph Neural Networks
di: Dushatskiy, Arkadiy, et al.
Pubblicazione: (2024)

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
di: Luo, Shiyuan, et al.
Pubblicazione: (2023)

Analysis of a mathematical model for malaria using data-driven approach
di: Rajnarayanan, Adithya, et al.
Pubblicazione: (2024)

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
di: Stone, Haley, et al.
Pubblicazione: (2025)

Controllability in a class of cancer therapy models with co-evolving resistance
di: Thomsen, Frederik J., et al.
Pubblicazione: (2025)