Akash Srivastava
Akash Srivastava
MIT, IBM Research, University of Edinburgh
Verified email at ed.ac.uk - Homepage
TitleCited byYear
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
A Srivastava, L Valkov, C Russell, M Gutmann, C Sutton
31st Conference on Neural Information Processing Systems (NIPS 2017), Long …, 2017
772017
Autoencoding Variational Inference for Topic Models
A Srivastava, C Sutton
International Conference on Learning Representations (ICLR), 2017
492017
Fast and scalable bayesian deep learning by weight-perturbation in adam
ME Khan, D Nielsen, V Tangkaratt, W Lin, Y Gal, A Srivastava
arXiv preprint arXiv:1806.04854, 2018
192018
Clustering with a reject option: Interactive clustering as bayesian prior elicitation
A Srivastava, J Zou, C Sutton
KDD 2016 Workshop on Interactive Data Exploration and Analytics (IDEA’16 …, 2016
62016
Neural variational inference for topic models
A Srivastava, C Sutton
Bayesian deep learning workshop, NIPS 2016, 2016
42016
HOUDINI: Lifelong Learning as Program Synthesis
L Valkov, D Chaudhari, A Srivastava, C Sutton, S Chaudhuri
Advances in Neural Information Processing Systems, 8687-8698, 2018
22018
Ratio Matching MMD Nets: Low dimensional projections for effective deep generative models
A Srivastava, K Xu, MU Gutmann, C Sutton
arXiv preprint arXiv:1806.00101, 2018
12018
Variational Inference In Pachinko Allocation Machines
A Srivastava, C Sutton
arXiv preprint arXiv:1804.07944, 2018
12018
Synthesis of differentiable functional programs for lifelong learning
L Valkov, D Chaudhari, A Srivastava, C Sutton, S Chaudhuri
arXiv preprint arXiv:1804.00218, 2018
12018
Burst Detection Modulated Document Clustering: A Partially Feature-Pivoted Approach To First Story Detection
A Srivastava
Informatics Forum, University of Edinburgh, 2014
2014
Amortized Inference for Latent Feature Models Using Variational Russian Roulette
K Xu, A Srivastava, C Sutton
Supplementary material for HOUDINI: Lifelong Learning as Program Synthesis
L Valkov, D Chaudhari, A Srivastava, C Sutton, S Chaudhuri
Supplemental Material for VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
A Srivastava, L Valkov, C Russell, M Gutmann, C Sutton
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Articles 1–13