Jae Hyun Lim

According to our database, Jae Hyun Lim authored at least 11 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Score-based Diffusion Models in Function Space.

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

CoRR, 2023

2021

A Variational Perspective on Diffusion-Based Generative Models and Score Matching.

Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation.

Jae Hyun Lim, Aaron C. Courville, Christopher J. Pal, Chin-Wei Huang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Neural Multisensory Scene Inference.

Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Comparing the Performance of Indoor Localization Systems through the EvAAL Framework.

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

Sensors, 2017

Geometric GAN.

Jae Hyun Lim, Jong Chul Ye

CoRR, 2017

2015

Malware analysis using visualized images and entropy graphs.

Kyoung-Soo Han, Jae Hyun Lim, Boojoong Kang, Eul Gyu Im

Int. J. Inf. Sec., 2015

2013

Malware analysis method using visualization of binary files.

Kyoung-Soo Han, Jae Hyun Lim, Eul Gyu Im

Proceedings of the Research in Adaptive and Convergent Systems, 2013

Multiple Kernel Learning with Hierarchical Feature Representations.

Juhyeon Lee, Jae Hyun Lim, Hyungwon Choi, Dae-Shik Kim

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Learning spatio-temporally invariant representations from video.

Jae Hyun Lim, Hansol Choi, Jun-Cheol Park, Jae Young Jun, Dae-Shik Kim

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Reward hierarchical temporal memory.

Hansol Choi, Jun-Cheol Park, Jae Hyun Lim, Jae Young Jun, Dae-Shik Kim

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012