📑 Papers accepted to workshops, Sampling and Optimization in Discrete Space (SODS) ፨ and Differentiable Almost Everything (DiffAE) 〆 at ICML 2023 🎉
Paper TL;DR : We introduce a differentiable approach to search for phylogenetic trees. We optimize the tree and ancestral sequences to reduce the total evolutionary steps (parsimony cost).
Check out our work at ICML 2023 workshops - Sampling and Optimization in Discrete Space (SODS) ፨ (Saturday, July 29) and Differentiable Almost Everything (DiffAE) 〆 (Friday, July 28)
- Poster - https://ramith.fyi/assets/pdf/Diff-Evol-Trees_ICML.pdf
- Paper (On bioRxiv) - https://www.biorxiv.org/content/10.1101/2023.07.23.550206v1
- Paper (On Open Review) - https://openreview.net/forum?id=K27V4MUYjV
- Github - https://github.ramith.io/diff-evol-tree-search
- Twitter - https://twitter.com/ramith__/status/1683073409952153600
Update 2023.09.19 : Eric J. Ma has written a very detailed article on our paper's key contribution : making the trees and sequences differentiable. You can read it here. It does a great job at explaining our method.
Guess it went well!
— Ramith Hettiarachchi (@ramith__) July 30, 2023
met new friends, those working on similar problems, got feedback, discussed ideas..
inspiring talks, exciting posters & workshops
Time to head back home (2) 🩵 https://t.co/t9lEtm1rJF pic.twitter.com/Ej5JdgThtV
Glad to meet people behind some libraries I frequently use, who are advancing the field of differentiability of unconventional stuff/algorithms ! ❤️ #JAXOpt @mblondel_ml @FHKPetersen @qberthet #DiffAE pic.twitter.com/iwVqxyC4Oc
— Ramith Hettiarachchi (@ramith__) July 29, 2023