Co-occurring keywords · papers mentioning both
Papers
When do GFlowNets learn the right distribution?
ICLR 2025
A Variational Approach to Bayesian Phylogenetic Inference
JMLR 2024
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation
NeurIPS 2024
PhyloGFN: Phylogenetic inference with generative flow networks
ICLR 2024
ARTree: A Deep Autoregressive Model for Phylogenetic Inference
NeurIPS 2023
Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study
EMNLP 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
NeurIPS 2023
Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks
ICLR 2023
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference
UAI 2021
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
NeurIPS 2020
Imputing typological values via phylogenetic inference
EMNLP 2020
An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics
ACL 2019
Semantic Change and Semantic Stability: Variation is Key
ACL 2019
Analyzing Correlated Evolution of Multiple Features Using Latent Representations
EMNLP 2018
Contrasting Vertical and Horizontal Transmission of Typological Features
COLING 2016
Entangled Monte Carlo
NeurIPS 2012
Scalable Inference on Kingman’s Coalescent using Pair Similarity
AISTATS 2012
Efficient Inference in Phylogenetic InDel Trees
NeurIPS 2008