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Prasad Kawthekar
Prasad Kawthekar
Stanford CS 2018
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Retrosynthetic reaction prediction using neural sequence-to-sequence models
B Liu, B Ramsundar, P Kawthekar, J Shi, J Gomes, Q Luu Nguyen, S Ho, ...
ACS central science 3 (10), 1103-1113, 2017
4602017
Transfer learning for improving model predictions in highly configurable software
P Jamshidi, M Velez, C Kästner, N Siegmund, P Kawthekar
2017 IEEE/ACM 12th International Symposium on Software Engineering for …, 2017
1202017
Evaluating generative models for text generation
P Kawthekar, R Rewari, S Bhooshan
URL https://web. stanford. edu/class/archive/cs/cs224n/cs224n 1174, 2017
202017
Predicting transcriptional regulatory activities with deep convolutional networks
J Paggi, A Lamb, K Tian, I Hsu, PL Cedoz, P Kawthekar
BioRxiv, 099879, 2017
62017
Sensitivity analysis for building evolving and & adaptive robotic software
P Kawthekar, C Kästner
Proceedings of the IJCAI Workshop on Autonomous Mobile Service Robots (WSR) 7, 2016
52016
DART: Deep learning for ART
M Dumonal, Y He, P Kawthekar
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Articles 1–6