Kalyan Veeramachaneni
Kalyan Veeramachaneni
Principal Research Scientist, Massachusetts Institute of Technology
Verified email at csail.mit.edu
Cited by
Cited by
Fitness-distance-ratio based particle swarm optimization
T Peram, K Veeramachaneni, CK Mohan
Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No …, 2003
Opentuner: An extensible framework for program autotuning
J Ansel, S Kamil, K Veeramachaneni, J Ragan-Kelley, J Bosboom, ...
Proceedings of the 23rd international conference on Parallel architectures …, 2014
Deep feature synthesis: Towards automating data science endeavors
JM Kanter, K Veeramachaneni
2015 IEEE international conference on data science and advanced analytics …, 2015
AI^ 2: training a big data machine to defend
K Veeramachaneni, I Arnaldo, V Korrapati, C Bassias, K Li
2016 IEEE 2nd International Conference on Big Data Security on Cloud …, 2016
Optimization using particle swarms with near neighbor interactions
K Veeramachaneni, T Peram, C Mohan, L Osadciw
Genetic and Evolutionary Computation—GECCO 2003, 200-200, 2003
An adaptive multimodal biometric management algorithm
K Veeramachaneni, LA Osadciw, PK Varshney
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2005
Likely to stop? predicting stopout in massive open online courses
C Taylor, K Veeramachaneni, UM O'Reilly
arXiv preprint arXiv:1408.3382, 2014
The synthetic data vault
N Patki, R Wedge, K Veeramachaneni
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
Modeling tabular data using conditional gan
L Xu, M Skoularidou, A Cuesta-Infante, K Veeramachaneni
arXiv preprint arXiv:1907.00503, 2019
Autotuning algorithmic choice for input sensitivity
Y Ding, J Ansel, K Veeramachaneni, X Shen, UM O’Reilly, ...
ACM SIGPLAN Notices 50 (6), 379-390, 2015
Transfer learning for predictive models in massive open online courses
S Boyer, K Veeramachaneni
International conference on artificial intelligence in education, 54-63, 2015
Moocdb: Developing standards and systems to support mooc data science
K Veeramachaneni, S Halawa, F Dernoncourt, UM O'Reilly, C Taylor, ...
arXiv preprint arXiv:1406.2015, 2014
Probabilistically driven particle swarms for optimization of multi valued discrete problems: Design and analysis
K Veeramachaneni, L Osadciw, G Kamath
2007 IEEE Swarm Intelligence Symposium, 141-149, 2007
ATM: A distributed, collaborative, scalable system for automated machine learning
T Swearingen, W Drevo, B Cyphers, A Cuesta-Infante, A Ross, ...
2017 IEEE International Conference on Big Data (Big Data), 151-162, 2017
Distributed, multi-model, self-learning platform for machine learning
WD Drevo, KK Veeramachaneni, U O'reilly
US Patent App. 14/598,628, 2016
DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction
Y Chen, Q Chen, M Zhao, S Boyer, K Veeramachaneni, H Qu
2016 IEEE Conference on Visual Analytics Science and Technology (VAST), 111-120, 2016
Building predictive models via feature synthesis
I Arnaldo, UM O'Reilly, K Veeramachaneni
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
SteganoGAN: High capacity image steganography with GANs
KA Zhang, A Cuesta-Infante, L Xu, K Veeramachaneni
arXiv preprint arXiv:1901.03892, 2019
Optimizing the layout of 1000 wind turbines
M Wagner, K Veeramachaneni, F Neumann, UM O’Reilly
European wind energy association annual event 205209, 2011
Atmseer: Increasing transparency and controllability in automated machine learning
Q Wang, Y Ming, Z Jin, Q Shen, D Liu, MJ Smith, K Veeramachaneni, ...
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
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