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1712.06148
Cited By
Generating and designing DNA with deep generative models
17 December 2017
N. Killoran
Leo J. Lee
Andrew Delong
David Duvenaud
B. Frey
AI4CE
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Papers citing
"Generating and designing DNA with deep generative models"
18 / 18 papers shown
Title
Is novelty predictable?
Clara Fannjiang
Jennifer Listgarten
AI4CE
17
14
0
01 Jun 2023
Fourier Representations for Black-Box Optimization over Categorical Variables
Hamid Dadkhahi
Jesus Rios
Karthikeyan Shanmugam
Payel Das
27
11
0
08 Feb 2022
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Joel Frank
Lea Schonherr
DiffM
129
123
0
04 Nov 2021
Differential-Critic GAN: Generating What You Want by a Cue of Preferences
Yinghua Yao
Yuangang Pan
Ivor W. Tsang
Xin Yao
DiffM
20
0
0
14 Jul 2021
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem
Lun Jiang
N. S. Sadghiani
Zhuo Tao
Andrew Cohen
19
0
0
07 Apr 2021
AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
Sam Sinai
Richard Wang
Alexander Whatley
Stewart Slocum
Elina Locane
Eric D. Kelsic
25
77
0
05 Oct 2020
MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations
D. S. Berman
Craig Howser
T. Mehoke
Jared D. Evans
32
9
0
26 Aug 2020
Deep Learning in Protein Structural Modeling and Design
Wenhao Gao
S. Mahajan
Jeremias Sulam
Jeffrey J. Gray
29
159
0
16 Jul 2020
Population-Based Black-Box Optimization for Biological Sequence Design
Christof Angermüller
David Belanger
Andreea Gane
Zelda E. Mariet
David Dohan
Kevin Patrick Murphy
Lucy J. Colwell
D. Sculley
16
133
0
05 Jun 2020
Fast differentiable DNA and protein sequence optimization for molecular design
Johannes Linder
Georg Seelig
20
54
0
22 May 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
817
0
20 Jan 2020
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
18
716
0
07 Jun 2019
Generating protein sequences from antibiotic resistance genes data using Generative Adversarial Networks
Prabal Chhibbar
Arpita Joshi
GAN
8
12
0
28 Apr 2019
Conditioning by adaptive sampling for robust design
David H. Brookes
Hahnbeom Park
Jennifer Listgarten
19
193
0
29 Jan 2019
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
194
633
0
29 Nov 2018
Design by adaptive sampling
David H. Brookes
Jennifer Listgarten
TPM
39
65
0
08 Oct 2018
Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions
Anvita Gupta
James Zou
AI4CE
6
55
0
05 Apr 2018
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
236
2,547
0
25 Jan 2016
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