Daniel Jiwoong Im
Daniel Jiwoong Im
AIFounded
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TitleCited byYear
Generating images with recurrent adversarial networks
DJ Im, CD Kim, H Jiang, R Memisevic
arXiv preprint arXiv:1602.05110, 2016
1232016
Denoising criterion for variational auto-encoding framework
DIJ Im, S Ahn, R Memisevic, Y Bengio
Thirty-First AAAI Conference on Artificial Intelligence, 2017
352017
An empirical analysis of deep network loss surfaces
DJ Im, M Tao, K Branson
192016
Quantitatively evaluating GANs with divergences proposed for training
DJ Im, H Ma, G Taylor, K Branson
arXiv preprint arXiv:1803.01045, 2018
172018
Generative adversarial parallelization
DJ Im, H Ma, CD Kim, G Taylor
arXiv preprint arXiv:1612.04021, 2016
172016
An empirical analysis of the optimization of deep network loss surfaces
DJ Im, M Tao, K Branson
arXiv preprint arXiv:1612.04010, 2016
72016
Semisupervised hyperspectral image classification via neighborhood graph learning
DJ Im, GW Taylor
IEEE Geoscience and Remote Sensing Letters 12 (9), 1913-1917, 2015
62015
Neural network regularization via robust weight factorization
J Rudy, W Ding, DJ Im, GW Taylor
arXiv preprint arXiv:1412.6630, 2014
62014
Neural machine translation with gumbel-greedy decoding
J Gu, DJ Im, VOK Li
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
52018
Conservativeness of untied auto-encoders
DJ Im, MI Belghazi, R Memisevic
Thirtieth AAAI Conference on Artificial Intelligence, 2016
42016
Generative adversarial metric
DJ Im, CD Kim, H Jiang, R Memisevic
42016
Learning a metric for class-conditional KNN
DJ Im, GW Taylor
2016 International Joint Conference on Neural Networks (IJCNN), 1932-1939, 2016
22016
Stochastic Neighbor Embedding under f-divergences
DJ Im, N Verma, K Branson
arXiv preprint arXiv:1811.01247, 2018
12018
Understanding minimum probability flow for RBMs under various kinds of dynamics
DJ Im, E Buchman, GW Taylor
arXiv preprint arXiv:1412.6617, 2014
12014
An empirical investigation of minimum probability flow learning under different connectivity patterns
DJ Im, E Buchman, GW Taylor
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
2015
Scoring and classifying with Gated auto-encoders
DJ Im, GW Taylor
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
2015
Analyzing Unsupervised Representation Learning Models Under the View of Dynamical Systems
J Im
2015
Improving semi-supervised neural networks for scene understanding by learning the neighborhood graph
J Im, GW Taylor
IEEE CVPR Workshop on Scene Understanding, 2014
2014
An Empirical Evaluation of the Numerical Techiques on American Put Option Valuation
J Im, K Jackson
2013
SCORING AND CLASSIFYING WITH GATED AUTO
DJ Im, GW Taylor
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Articles 1–20