Akash Srivastava

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Charles SuttonGoogle, University of EdinburghVerified email at inf.ed.ac.uk
Lazar ValkovMIT-IBM Watson AI LabVerified email at ibm.com
Michael U. GutmannUniversity of EdinburghVerified email at ed.ac.uk
Chris RussellAmazonVerified email at turing.ac.uk
Kai Xu / 徐锴University of EdinburghVerified email at ed.ac.uk
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Wu LinUniversity of British ColumbiaVerified email at cs.ubc.ca
Voot TangkarattPostdoc researcher @ RIKEN AIP, Japan.Verified email at ms.k.u-tokyo.ac.jp
Didrik NielsenPhD Student, Technical University of DenmarkVerified email at dtu.dk
Dipak ChaudhariResearch Scientist, UT AustinVerified email at austin.utexas.edu
Mohammad Emtiyaz KhanCenter for Advanced Intelligence Project (AIP), RIKEN, TokyoVerified email at postman.riken.jp
Cole L. HurwitzPhD Candidate, Institute for Adaptive and Neural Computation, University of EdinburghVerified email at ed.ac.uk
Swarat ChaudhuriUniversity of Texas at AustinVerified email at cs.utexas.edu
David CoxIBM Director, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
Prasanna SattigeriIBM Research AI, MIT-IBM Watson AI LabVerified email at us.ibm.com
Dan GutfreundIBM ResearchVerified email at us.ibm.com
Matthias HennigUniversity of EdinburghVerified email at ed.ac.uk
Joshua B. TenenbaumMITVerified email at mit.edu
James ZouStanford UniversityVerified email at stanford.edu
Alessio Paolo BuccinoPostdoc ETHVerified email at bsse.ethz.ch

Akash Srivastava

MIT, IBM Research, University of Edinburgh

Verified email at mit.edu - Homepage

Generative Models Variational Inference Deep Learning Machine Common Sense


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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	417	2017
Autoencoding Variational Inference for Topic Models A Srivastava, C Sutton International Conference on Learning Representations (ICLR), 2017	303	2017
Fast and scalable Bayesian deep learning by weight-perturbation in Adam ME Khan, D Nielsen, V Tangkaratt, W Lin, Y Gal, A Srivastava International Conference on Machine Learning, 2018, 2018	147	2018
Some tetragonally distorted copper (II) complexes of 4-benzylamidothiosemicarbazide and its thiosemicarbazone MC Jain, AK Srivastava, PC Jain Inorganica Chimica Acta 23, 199-203, 1977	95	1977
Houdini: Lifelong learning as program synthesis L Valkov, D Chaudhari, A Srivastava, C Sutton, S Chaudhuri arXiv preprint arXiv:1804.00218, 2018	43	2018
Performance analysis of silicon and blue phosphorene/MoS 2 hetero-structure based SPR sensor A Srivastava, YK Prajapati Photonic Sensors 9 (3), 284-292, 2019	28	2019
Effect of BlueP/MoS2 heterostructure and graphene layer on the performance parameter of SPR sensor: theoretical insight YK Prajapati, A Srivastava Superlattices and Microstructures 129, 152-162, 2019	27	2019
Neural variational inference for topic models A Srivastava, C Sutton ArXiv Preprint 1 (1), 1-12, 2016	14	2016
Transcriptional profiling reveals protective mechanisms in brains of long-lived mice C Frahm, A Srivastava, S Schmidt, J Mueller, M Groth, M Guenther, Y Ji, ... Neurobiology of aging 52, 23-31, 2017	13	2017
Conserved aging-related signatures of senescence and inflammation in different tissues and species E Barth, A Srivastava, M Stojiljkovic, C Frahm, H Axer, OW Witte, M Marz Aging (Albany NY) 11 (19), 8556, 2019	9	2019
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference CL Hurwitz, K Xu, A Srivastava, AP Buccino, M Hennig NeurIPS, 2019, 2019	8	2019
Variational russian roulette for deep bayesian nonparametrics K Xu, A Srivastava, C Sutton International Conference on Machine Learning, 6963-6972, 2019	8	2019
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	8	2016
Balwinder-Singh M Jain, AK Srivastava Joon, RK, 0	8
Generative Ratio Matching Networks A Srivastava, MU Gutmann, K Xu, C Sutton International Conference on Learning Representations, 2020	7*	2020
Chemistry Vol (1 and 2) AK Srivastava, PC Jain FK Publications, 2007	7	2007
Variational inference in pachinko allocation machines A Srivastava, C Sutton arXiv preprint arXiv:1804.07944, 2018	6	2018
Species of Scapania from Lilam in Kumaon (western Himalayas), Uttar Pradesh, India SC Srivastava, A Srivastava Geophytology 24, 137-145, 1995	6	1995
Water: an unique matter. Lko BC Yadav, NK Pandey, AK Srivastava J. Sc 2, 15-21, 2005	5	2005
Chemical Analysis: An Instrumental Approach AK Srivastava, PC Jain S. Chand Limited, 1980	5	1980

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