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Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets.

M. Liu, Y. Mroueh, J. Ross, W. Zhang, X. Cui, P. Das, and T. Yang. ICLR, OpenReview.net, (2020)

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Payel Das

Romy Das

Bio-economic modeling of soil resource conservation in Mid Hill Region of NepalR. Das. Uni Gießen, (2009)

Anita Das

Arabindo Das

Amitabh Das

Other publications of authors with the same name

PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences.P. Das, K. Wadhawan, O. Chang, T. Sercu, C. dos Santos, M. Riemer, I. Padhi, V. Chenthamarakshan, and A. Mojsilovic. CoRR, (2018)Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.V. Chenthamarakshan, P. Das, I. Padhi, H. Strobelt, K. Lim, B. Hoover, S. Hoffman, and A. Mojsilovic. CoRR, (2020)Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction.Z. Zhang, M. Xu, A. Lozano, V. Chenthamarakshan, P. Das, and J. Tang. CoRR, (2023)Fourier Representations for Black-Box Optimization over Categorical Variables.H. Dadkhahi, J. Rios, K. Shanmugam, and P. Das. AAAI, page 10156-10165. AAAI Press, (2022)Self-Progressing Robust Training.M. Cheng, P. Chen, S. Liu, S. Chang, C. Hsieh, and P. Das. AAAI, page 7107-7115. AAAI Press, (2021)Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models.S. Basu, P. Sattigeri, K. Ramamurthy, V. Chenthamarakshan, K. Varshney, L. Varshney, and P. Das. AAAI, page 6788-6796. AAAI Press, (2023)Active Binary Classification of Random Fields.A. Mukherjee, A. Tajer, P. Chen, and P. Das. ISIT, page 3326-3331. IEEE, (2021)Predicting Deep Neural Network Generalization with Perturbation Response Curves.Y. Schiff, B. Quanz, P. Das, and P. Chen. NeurIPS, page 21176-21188. (2021)A Decentralized Parallel Algorithm for Training Generative Adversarial Nets.M. Liu, W. Zhang, Y. Mroueh, X. Cui, J. Ross, T. Yang, and P. Das. NeurIPS, (2020)Combinatorial Black-Box Optimization with Expert Advice.H. Dadkhahi, K. Shanmugam, J. Rios, P. Das, S. Hoffman, T. Loeffler, and S. Sankaranarayanan. KDD, page 1918-1927. ACM, (2020)

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Disambiguation of "Das, Payel"

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Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets.

Please choose a person to relate this publication to

Payel Das

Romy Das

Anita Das

Arabindo Das

Amitabh Das

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Das, Payel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets.

Please choose a person to relate this publication to

Payel Das

Romy Das

Anita Das

Arabindo Das

Amitabh Das

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets.