Daniel Jiwoong Im
Daniel Jiwoong Im
New York University
Verified email at aifounded.com - Homepage
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
1922016
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
1062017
Quantitatively evaluating GANs with divergences proposed for training
DJ Im, H Ma, G Taylor, K Branson
arXiv preprint arXiv:1803.01045, 2018
572018
An empirical analysis of deep network loss surfaces
DJ Im, M Tao, K Branson
332016
Neural machine translation with gumbel-greedy decoding
J Gu, DJ Im, VOK Li
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
302018
Generative adversarial parallelization
DJ Im, H Ma, CD Kim, G Taylor
arXiv preprint arXiv:1612.04021, 2016
272016
An empirical analysis of the optimization of deep network loss surfaces
DJ Im, M Tao, K Branson
arXiv preprint arXiv:1612.04010, 2016
142016
Semisupervised hyperspectral image classification via neighborhood graph learning
DJ Im, GW Taylor
IEEE Geoscience and Remote Sensing Letters 12 (9), 1913-1917, 2015
142015
Conservativeness of untied auto-encoders
D Im, M Belghazi, R Memisevic
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
72016
Neural network regularization via robust weight factorization
J Rudy, W Ding, DJ Im, GW Taylor
arXiv preprint arXiv:1412.6630, 2014
72014
Stochastic Neighbor Embedding under f-divergences
DJ Im, N Verma, K Branson
arXiv preprint arXiv:1811.01247, 2018
62018
Generative adversarial metric
DJ Im, CD Kim, H Jiang, R Memisevic
52016
Generating images with recurrent adversarial networks.(2016)
DJ Im, CD Kim, H Jiang, R Memisevic
arXiv preprint arXiv:1602.05110, 0
5
Learning a metric for class-conditional KNN
DJ Im, GW Taylor
2016 International Joint Conference on Neural Networks (IJCNN), 1932-1939, 2016
42016
Scoring and classifying with Gated auto-encoders
DJ Im, GW Taylor
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
22015
Model-Agnostic Meta-Learning using Runge-Kutta Methods
DJ Im, Y Jiang, N Verma
arXiv preprint arXiv:1910.07368, 2019
12019
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
12019
Understanding minimum probability flow for RBMs under various kinds of dynamics
DJ Im, E Buchman, GW Taylor
arXiv preprint arXiv:1412.6617, 2014
12014
Online hyperparameter optimization by real-time recurrent learning
DJ Im, C Savin, K Cho
arXiv preprint arXiv:2102.07813, 2021
2021
Evaluation metrics for behaviour modeling
DJ Im, I Kwak, K Branson
arXiv preprint arXiv:2007.12298, 2020
2020
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