Jae Hyun Lim - RankMe

15 papers A* 3B 2Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Score-Based Diffusion Models in Function Space. J. Mach. Learn. Res. 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
2023	J	`jnl`	Score-based Diffusion Models in Function Space. CoRR 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
2021	A*	`conf`	A Variational Perspective on Diffusion-Based Generative Models and Score Matching. NeurIPS Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville
2021	J	`jnl`	A Variational Perspective on Diffusion-Based Generative Models and Score Matching. CoRR Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville
2020	A*	`conf`	AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. ICML Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
2020	J	`jnl`	AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation. CoRR Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang
2019	A*	`conf`	Neural Multisensory Scene Inference. NeurIPS Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn
2019	J	`jnl`	Neural Multisensory Scene Inference. CoRR Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn
2017	J	`jnl`	Comparing the Performance of Indoor Localization Systems through the EvAAL Framework. Sensors 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
2017	J	`jnl`	Geometric GAN. CoRR Jae Hyun Lim, Jong Chul Ye
2015	J	`jnl`	Malware analysis using visualized images and entropy graphs. Int. J. Inf. Sec. Kyoung-Soo Han, Jae Hyun Lim, BooJoong Kang, Eul Gyu Im
2013	—	`conf`	Malware analysis method using visualization of binary files. RACS Kyoung-Soo Han, Jae Hyun Lim, Eul Gyu Im
2013	—	`conf`	Multiple Kernel Learning with Hierarchical Feature Representations. ICONIP (3) Juhyeon Lee, Jae Hyun Lim, Hyungwon Choi, Dae-Shik Kim
2012	B	`conf`	Learning spatio-temporally invariant representations from video. IJCNN Jae Hyun Lim, Hansol Choi, Jun-Cheol Park, Jae Young Jun, Dae-Shik Kim
2012	B	`conf`	Reward hierarchical temporal memory. IJCNN Hansol Choi, Jun-Cheol Park, Jae Hyun Lim, Jae Young Jun, Dae-Shik Kim