Daniel Jiwoong Im

31 papers A* 3B 1Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Autoregressive Models as Causal Inference Engines. Trans. Mach. Learn. Res. Daniel Jiwoong Im, Kevin Zhang, Nakul Verma, Kyunghyun Cho
2024	J	`jnl`	Using Deep Autoregressive Models as Causal Inference Engines. CoRR Daniel Jiwoong Im, Kevin Zhang, Nakul Verma, Kyunghyun Cho
2023	J	`jnl`	Active and Passive Causal Inference Learning. CoRR Daniel Jiwoong Im, Kyunghyun Cho
2023	J	`jnl`	Onchain Sports Betting using UBET Automated Market Maker. CoRR Daniel Jiwoong Im, Alexander Kondratskiy, Vincent Harvey, Hsuan-Wei Fu
2023	J	`jnl`	UAMM: UBET Automated Market Maker. CoRR Daniel Jiwoong Im, Alexander Kondratskiy, Vincent Harvey, Hsuan-Wei Fu
2021	J	`jnl`	Causal Effect Variational Autoencoder with Uniform Treatment. CoRR Daniel Jiwoong Im, Kyunghyun Cho, Narges Razavian
2021	J	`jnl`	Online hyperparameter optimization by real-time recurrent learning. CoRR Daniel Jiwoong Im, Cristina Savin, Kyunghyun Cho
2020	J	`jnl`	Are skip connections necessary for biologically plausible learning rules? CoRR Daniel Jiwoong Im, Rutuja Patil, Kristin Branson
2020	J	`jnl`	Evaluation metrics for behaviour modeling. CoRR Daniel Jiwoong Im, Iljung S. Kwak, Kristin Branson
2019	J	`jnl`	Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data. CoRR Daniel Jiwoong Im, Sridhama Prakhya, Jinyao Yan, Srinivas C. Turaga, Kristin Branson
2019	J	`jnl`	Model-Agnostic Meta-Learning using Runge-Kutta Methods. CoRR Daniel Jiwoong Im, Yibo Jiang, Nakul Verma
2018	A*	`conf`	Neural Machine Translation with Gumbel-Greedy Decoding. AAAI Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li
2018	—	`conf`	Quantitatively Evaluating GANs With Divergences Proposed for Training. ICLR (Poster) Daniel Jiwoong Im, He Ma, Graham W. Taylor, Kristin Branson
2018	J	`jnl`	Quantitatively Evaluating GANs With Divergences Proposed for Training. CoRR Daniel Jiwoong Im, He Ma, Graham W. Taylor, Kristin Branson
2018	J	`jnl`	Stochastic Neighbor Embedding under f-divergences. CoRR Daniel Jiwoong Im, Nakul Verma, Kristin Branson
2017	A*	`conf`	Denoising Criterion for Variational Auto-Encoding Framework. AAAI Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio
2017	J	`jnl`	Neural Machine Translation with Gumbel-Greedy Decoding. CoRR Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li
2016	J	`jnl`	An Empirical Analysis of Deep Network Loss Surfaces. CoRR Daniel Jiwoong Im, Michael Tao, Kristin Branson
2016	A*	`conf`	Conservativeness of Untied Auto-Encoders. AAAI Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic
2016	J	`jnl`	Generating images with recurrent adversarial networks. CoRR Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang, Roland Memisevic
2016	J	`jnl`	Generative Adversarial Parallelization. CoRR Daniel Jiwoong Im, He Ma, Chris Dongjoo Kim, Graham W. Taylor
2016	B	`conf`	Learning a metric for class-conditional KNN. IJCNN Daniel Jiwoong Im, Graham W. Taylor
2016	J	`jnl`	Learning a metric for class-conditional KNN. CoRR Daniel Jiwoong Im, Graham W. Taylor
2015	—	`conf`	An Empirical Investigation of Minimum Probability Flow Learning Under Different Connectivity Patterns. ECML/PKDD (1) Daniel Jiwoong Im, Ethan Buchman, Graham W. Taylor
2015	J	`jnl`	Conservativeness of untied auto-encoders. CoRR Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic
2015	J	`jnl`	Denoising Criterion for Variational Auto-Encoding Framework. CoRR Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio
2015	—	`conf`	Scoring and Classifying with Gated Auto-Encoders. ECML/PKDD (1) Daniel Jiwoong Im, Graham W. Taylor
2015	J	`jnl`	Semisupervised Hyperspectral Image Classification via Neighborhood Graph Learning. IEEE Geosci. Remote. Sens. Lett. Daniel Jiwoong Im, Graham W. Taylor
2015	—	`conf`	Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics. ICLR (Workshop) Daniel Jiwoong Im, Ethan Buchman, Graham W. Taylor
2014	J	`jnl`	Neural Network Regularization via Robust Weight Factorization. CoRR Jan Rudy, Weiguang Ding, Daniel Jiwoong Im, Graham W. Taylor
2014	J	`jnl`	Scoring and Classifying with Gated Auto-encoders. CoRR Daniel Jiwoong Im, Graham W. Taylor