Daniel Jiwoong Im

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	All	Since 2019
Citations	901	664
h-index	10	10
i10-index	10	10

140

105

20162017201820192020202120222023202434 61 134 131 126 127 112 101 67

Co-authors

Graham TaylorUniversity of Guelph and Vector Institute for Artificial IntelligenceVerified email at uoguelph.ca
Roland MemisevicQualcomm AI ResearchVerified email at qti.qualcomm.com
Kristin BransonHHMI Janelia Research CampusVerified email at janelia.hhmi.org
Hui JiangProfessor of Electrical Engineering and Computer Science, York UniversityVerified email at cse.yorku.ca
He MaSchool of Engineering, University of GuelphVerified email at uoguelph.ca
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Sungjin AhnAssociate Professor, KAISTVerified email at kaist.ac.kr
Michael TaoUniversity of TorontoVerified email at dgp.toronto.edu
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Nakul VermaColumbia UniversityVerified email at cs.columbia.edu
Jiatao GuApple AI/ML (MLR)Verified email at apple.com
Mohamed Ishmael BelghaziMontreal Institute for Learning AlgorithmsVerified email at mila.quebec
Gavin Weiguang DingEcopia AIVerified email at uoguelph.ca
Cristina SavinNYUVerified email at nyu.edu
Jinyao YanPostdoc, Janelia Research CampusVerified email at janelia.hhmi.org
Sridhama PrakhyaUniversity of Massachusetts AmherstVerified email at google.com
Yibo JiangPhD, University of ChicagoVerified email at uchicago.edu
Srinivas C. TuragaHHMI Janelia Research CampusVerified email at janelia.hhmi.org
Ethan BuchmanUniversity of GuelphVerified email at uoguelph.ca

Daniel Jiwoong Im

New York University

Verified email at nyu.edu - Homepage

Machine learning Casual Inference Meta Learning Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generating images with recurrent adversarial networks DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 2016	282	2016
Denoising criterion for variational auto-encoding framework D Im Im, S Ahn, R Memisevic, Y Bengio Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017	234	2017
Quantitatively evaluating GANs with divergences proposed for training DJ Im, H Ma, G Taylor, K Branson arXiv preprint arXiv:1803.01045, 2018	82	2018
Neural machine translation with gumbel-greedy decoding J Gu, DJ Im, VOK Li Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	47	2018
An empirical analysis of the optimization of deep network loss surfaces DJ Im, M Tao, K Branson arXiv preprint arXiv:1612.04010, 2016	45	2016
An empirical analysis of deep network loss surfaces DJ Im, M Tao, K Branson	45	2016
Generative adversarial parallelization DJ Im, H Ma, CD Kim, G Taylor arXiv preprint arXiv:1612.04021, 2016	42	2016
Semisupervised hyperspectral image classification via neighborhood graph learning DJ Im, GW Taylor IEEE Geoscience and Remote Sensing Letters 12 (9), 1913-1917, 2015	22	2015
Stochastic neighbor embedding under f-divergences DJ Im, N Verma, K Branson arXiv preprint arXiv:1811.01247, 2018	21	2018
Conservativeness of untied auto-encoders D Im, M Belghazi, R Memisevic Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	12	2016
Neural network regularization via robust weight factorization J Rudy, W Ding, DJ Im, GW Taylor arXiv preprint arXiv:1412.6630, 2014	9	2014
Causal effect variational autoencoder with uniform treatment DJ Im, K Cho, N Razavian arXiv preprint arXiv:2111.08656, 2021	8	2021
Online hyperparameter optimization by real-time recurrent learning DJ Im, C Savin, K Cho arXiv preprint arXiv:2102.07813, 2021	8	2021
Learning a metric for class-conditional KNN DJ Im, GW Taylor 2016 International Joint Conference on Neural Networks (IJCNN), 1932-1939, 2016	8	2016
Generating images with recurrent adversarial networks. arXiv 2016 DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 0	7
Generative adversarial metric DJ Im, CD Kim, H Jiang, R Memisevic	6	2016
Generating images with recurrent adversarial networks. 2016 DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 0	5
Model-agnostic meta-learning using runge-kutta methods DJ Im, Y Jiang, N Verma arXiv preprint arXiv:1910.07368, 2019	4	2019
Importance weighted adversarial variational autoencoders for spike inference from calcium imaging data DJ Im, S Prakhya, J Yan, S Turaga, K Branson arXiv preprint arXiv:1906.03214, 2019	4	2019
Auto-encoding variational Bayes DJ Im, S Ahn, R Memisevic, Y Bengio CoRR, 2014	3	2014

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