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2020 – today
- 2024
[i4]Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J. Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov:
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold. CoRR abs/2408.14608 (2024)- 2023
- [c8]Lazar Atanackovic, Alexander Tong, Bo Wang, Leo J. Lee, Yoshua Bengio, Jason S. Hartford:
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets. NeurIPS 2023 - [i3]Lazar Atanackovic, Alexander Tong
, Jason S. Hartford, Leo J. Lee, Bo Wang, Yoshua Bengio:
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks. CoRR abs/2302.04178 (2023) - [i2]Philip Fradkin, Ruian Shi, Bo Wang, Brendan J. Frey, Leo J. Lee:
Splicing Up Your Predictions with RNA Contrastive Learning. CoRR abs/2310.08738 (2023) - 2022
- [j4]Philip Fradkin, Adamo Young, Lazar Atanackovic, Brendan J. Frey, Leo J. Lee, Bo Wang:
A graph neural network approach for molecule carcinogenicity prediction. Bioinform. 38(Supplement_1): i84-i91 (2022) - [c7]Tianyi Liu, Philip Fradkin, Lazar Atanackovic, Leo J. Lee:
Energy-based Modelling for Single-cell Data Annotation. MLCB 2022: 94-109
2010 – 2019
- 2017
- [i1]Nathan Killoran, Leo J. Lee, Andrew Delong, David Duvenaud, Brendan J. Frey:
Generating and designing DNA with deep generative models. CoRR abs/1712.06148 (2017) - 2014
- [j3]Michael K. K. Leung, Hui Yuan Xiong, Leo J. Lee, Brendan J. Frey:
Deep learning of the tissue-regulated splicing code. Bioinform. 30(12): 121-129 (2014) - 2012
- [j2]Boyko Kakaradov, Hui Yuan Xiong, Leo J. Lee, Nebojsa Jojic, Brendan J. Frey:
Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data. BMC Bioinform. 13(S-6): S11 (2012)
2000 – 2009
- 2007
- [j1]Li Deng, Leo J. Lee, Hagai Attias, Alex Acero:
Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model. IEEE Trans. Speech Audio Process. 15(1): 13-23 (2007) - 2005
- [c6]Nezamoddin Nezamoddini-Kachouie, Leo J. Lee, Paul W. Fieguth:
A probabilistic living cell segmentation model. ICIP (1) 2005: 1137-1140 - 2004
- [c5]Leo J. Lee, Hagai Attias, Li Deng, Paul W. Fieguth:
A multimodal variational approach to learning and inference in switching state space models [speech processing application]. ICASSP (5) 2004: 505-508 - [c4]Li Deng, Leo J. Lee, Hagai Attias, Alex Acero:
A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances. ICASSP (1) 2004: 557-560 - 2003
- [c3]Leo J. Lee, Hagai Attias, Li Deng:
Variational inference and learning for segmental switching state space models of hidden speech dynamics. ICASSP (1) 2003: 872-875 - [c2]Michael Jamieson, Paul W. Fieguth, Leo J. Lee:
Parametric contour estimation by simulated annealing. ICIP (3) 2003: 449-452 - 2001
- [c1]Leo J. Lee, Paul W. Fieguth, Li Deng:
A functional articulatory dynamic model for speech production. ICASSP 2001: 797-800
Coauthor Index
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