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Importance Weighted Expectation-Maximization for Protein Sequence Design

Importance Weighted Expectation-Maximization for Protein Sequence Design

30 April 2023
Zhenqiao Song
Lei Li
ArXivPDFHTML

Papers citing "Importance Weighted Expectation-Maximization for Protein Sequence Design"

5 / 5 papers shown
Title
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading
Melanie Rieff
Fabian Holzberger
Oksana Lapina
Geir Ringstad
Lars Magnus Valnes
Bogna Warsza
Kent-Andre Mardal
Per Kristian Eide
Barbara Wohlmuth
46
0
0
06 Oct 2024
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence
  Generation
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation
Zongying Lin
Hao Li
Liuzhenghao Lv
Lin Bin
Junwu Zhang
Calvin Yu-Chian Chwn
Li Yuan
Tian Yonghong
39
3
0
27 Feb 2024
Benchmarking deep generative models for diverse antibody sequence design
Benchmarking deep generative models for diverse antibody sequence design
Igor Melnyk
Payel Das
Vijil Chenthamarakshan
A. Lozano
DiffM
47
17
0
12 Nov 2021
Unifying Likelihood-free Inference with Black-box Optimization and
  Beyond
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Dinghuai Zhang
Jie Fu
Yoshua Bengio
Aaron Courville
38
13
0
06 Oct 2021
Design by adaptive sampling
Design by adaptive sampling
David H. Brookes
Jennifer Listgarten
TPM
46
66
0
08 Oct 2018
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