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ORCIDJae Hyun Lim 0001
Person information
- affiliation: University of Montreal, Canada
Other persons with the same name
- Jae-Hyun Lim (aka: Jae Hyun Lim) — disambiguation page
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2020 – today
- 2023
[i5]Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar:
Score-based Diffusion Models in Function Space. CoRR abs/2302.07400 (2023)- 2021
- [c7]Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville:
A Variational Perspective on Diffusion-Based Generative Models and Score Matching. NeurIPS 2021: 22863-22876 - [i4]Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville:
A Variational Perspective on Diffusion-Based Generative Models and Score Matching. CoRR abs/2106.02808 (2021) - 2020
- [c6]Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang:
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. ICML 2020: 6061-6071 - [i3]Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang:
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. CoRR abs/2006.05164 (2020)
2010 – 2019
- 2019
- [c5]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. NeurIPS 2019: 8994-9004 - [i2]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. CoRR abs/1910.02344 (2019) - 2017
- [j2]Francesco Potortì
, Sangjoon Park, Antonio Ramón Jiménez Ruiz, Paolo Barsocchi, Michele Girolami, Antonino Crivello, Soyeon Lee, Jae Hyun Lim, Joaquín Torres-Sospedra, Fernando Seco, Raúl Montoliu, Germán M. Mendoza-Silva, María del Carmen Pérez, Cristina Losada-Gutiérrez, Felipe Espinosa, Javier Macías Guarasa:
Comparing the Performance of Indoor Localization Systems through the EvAAL Framework. Sensors 17(10): 2327 (2017) - [i1]Jae Hyun Lim, Jong Chul Ye:
Geometric GAN. CoRR abs/1705.02894 (2017) - 2015
- [j1]Kyoung-Soo Han, Jae Hyun Lim, Boojoong Kang, Eul Gyu Im:
Malware analysis using visualized images and entropy graphs. Int. J. Inf. Sec. 14(1): 1-14 (2015) - 2013
- [c4]Juhyeon Lee, Jae Hyun Lim, Hyungwon Choi, Dae-Shik Kim:
Multiple Kernel Learning with Hierarchical Feature Representations. ICONIP (3) 2013: 517-524 - [c3]Kyoung-Soo Han, Jae Hyun Lim, Eul Gyu Im:
Malware analysis method using visualization of binary files. RACS 2013: 317-321 - 2012
- [c2]Hansol Choi, Jun-Cheol Park, Jae Hyun Lim, Jae Young Jun, Dae-Shik Kim:
Reward hierarchical temporal memory. IJCNN 2012: 1-7 - [c1]Jae Hyun Lim, Hansol Choi, Jun-Cheol Park, Jae Young Jun, Dae-Shik Kim:
Learning spatio-temporally invariant representations from video. IJCNN 2012: 1-6
Coauthor Index
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