עקוב אחר
Kalyan Veeramachaneni
Kalyan Veeramachaneni
Principal Research Scientist, Massachusetts Institute of Technology
כתובת אימייל מאומתת בדומיין csail.mit.edu
כותרת
צוטט על ידי
צוטט על ידי
שנה
Modeling tabular data using conditional gan‏
L Xu, M Skoularidou, A Cuesta-Infante, K Veeramachaneni‏
Advances in neural information processing systems 32, 2019‏
10652019
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
6852014
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
6792003
The synthetic data vault‏
N Patki, R Wedge, K Veeramachaneni‏
2016 IEEE international conference on data science and advanced analytics …, 2016‏
5382016
Deep feature synthesis: Towards automating data science endeavors‏
JM Kanter, K Veeramachaneni‏
2015 IEEE international conference on data science and advanced analytics …, 2015‏
4872015
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
3512016
Synthesizing tabular data using generative adversarial networks‏
L Xu, K Veeramachaneni‏
arXiv preprint arXiv:1811.11264, 2018‏
2872018
Tadgan: Time series anomaly detection using generative adversarial networks‏
A Geiger, D Liu, S Alnegheimish, A Cuesta-Infante, K Veeramachaneni‏
2020 ieee international conference on big data (big data), 33-43, 2020‏
2672020
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
2322003
SteganoGAN: High capacity image steganography with GANs‏
KA Zhang, A Cuesta-Infante, L Xu, K Veeramachaneni‏
arXiv preprint arXiv:1901.03892, 2019‏
2282019
Likely to stop? predicting stopout in massive open online courses‏
C Taylor, K Veeramachaneni, UM O'Reilly‏
arXiv preprint arXiv:1408.3382, 2014‏
1942014
Distributed, multi-model, self-learning platform for machine learning‏
WD Drevo, KK Veeramachaneni, U O'reilly‏
US Patent App. 14/598,628, 2016‏
1932016
An adaptive multimodal biometric management algorithm‏
K Veeramachaneni, LA Osadciw, PK Varshney‏
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2005‏
1862005
Automl to date and beyond: Challenges and opportunities‏
SK Karmaker, MM Hassan, MJ Smith, L Xu, C Zhai, K Veeramachaneni‏
ACM Computing Surveys (CSUR) 54 (8), 1-36, 2021‏
170*2021
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
1432017
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
1382015
Transfer learning for predictive models in massive open online courses‏
S Boyer, K Veeramachaneni‏
Artificial Intelligence in Education: 17th International Conference, AIED …, 2015‏
1192015
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
1082019
Building predictive models via feature synthesis‏
I Arnaldo, UM O'Reilly, K Veeramachaneni‏
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015‏
1002015
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
942016
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מאמרים 1–20