Neural Distance Embeddings for Biological Sequences

Neural Distance Embeddings for Biological Sequences

20 September 2021

Petar Velivcković

Papers citing "Neural Distance Embeddings for Biological Sequences"

14 / 14 papers shown

Title
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space Alex Chen Philipe Chlenski Kenneth Munyuza A. Moretti C. A. Naesseth I. Pe’er 49 0 0 29 Jan 2025
A group-theoretic framework for machine learning in hyperbolic spaces Vladimir Jaćimović 44 0 0 12 Jan 2025
DoDo-Code: a Deep Levenshtein Distance Embedding-based Code for IDS Channel and DNA Storage Alan J.X. Guo Sihan Sun Xiang Wei Mengyi Wei Xin Chen 8 1 0 20 Dec 2023
Levenshtein Distance Embedding with Poisson Regression for DNA Storage Xiang Wei Alan J.X. Guo Sihan Sun Mengyi Wei Wei Yu 14 2 0 13 Dec 2023
Fast hyperboloid decision tree algorithms Philippe Chlenski Ethan Turok A. Moretti I. Pe’er 29 4 0 20 Oct 2023
Blind Biological Sequence Denoising with Self-Supervised Set Learning Nathan Ng Ji Won Park Jae Hyeon Lee Ryan Lewis Kelly Stephen Ra Kyunghyun Cho BDL 13 0 0 04 Sep 2023
Neural Embeddings for Protein Graphs Francesco Ceccarelli Lorenzo Giusti S. Holden Pietro Lio' 22 0 0 07 Jun 2023
Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space Xiaogang Peng Hao Wen Yikai Luo Xiao Zhou K. Yu Yigang Wang Zizhao Wu 25 10 0 30 May 2023
Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds Noémie Jaquier Leonel Rozo Miguel González-Duque Viacheslav Borovitskiy Tamim Asfour 45 7 0 04 Oct 2022
Neural Embedding: Learning the Embedding of the Manifold of Physics Data Sang Eon Park Philip C. Harris B. Ostdiek PINN DRL AI4CE 25 16 0 10 Aug 2022
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage Alan J. X. Guo Cong Liang Q. Hou 20 4 0 11 Jul 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Hyperbolic Deep Neural Networks: A Survey Wei Peng Tuomas Varanka Abdelrahman Mostafa Henglin Shi Guoying Zhao AI4CE 45 133 0 12 Jan 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016