Leo J. Lee

17 papers A* 2Misc 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold.
ICLR
Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J. Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov
2024 J jnl
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold.
CoRR
Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J. Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov
2023 J jnl
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks.
CoRR
Lazar Atanackovic, Alexander Tong, Jason S. Hartford, Leo J. Lee, Bo Wang, Yoshua Bengio
2023 A* conf
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets.
NeurIPS
Lazar Atanackovic, Alexander Tong, Bo Wang, Leo J. Lee, Yoshua Bengio, Jason S. Hartford
2023 J jnl
Splicing Up Your Predictions with RNA Contrastive Learning.
CoRR
Philip Fradkin, Ruian Shi, Bo Wang, Brendan J. Frey, Leo J. Lee
2022 J jnl
A graph neural network approach for molecule carcinogenicity prediction.
Bioinform.
Philip Fradkin, Adamo Young, Lazar Atanackovic, Brendan J. Frey, Leo J. Lee, Bo Wang
2022 — conf
Energy-based Modelling for Single-cell Data Annotation.
MLCB
Tianyi Liu, Philip Fradkin, Lazar Atanackovic, Leo J. Lee
2017 J jnl
Generating and designing DNA with deep generative models.
CoRR
Nathan Killoran, Leo J. Lee, Andrew Delong, David Duvenaud, Brendan J. Frey
2014 J jnl
Deep learning of the tissue-regulated splicing code.
Bioinform.
Michael K. K. Leung, Hui Yuan Xiong, Leo J. Lee, Brendan J. Frey
2012 J jnl
Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data.
BMC Bioinform.
Boyko Kakaradov, Hui Yuan Xiong, Leo J. Lee, Nebojsa Jojic, Brendan J. Frey
2007 J jnl
Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model.
IEEE Trans. Speech Audio Process.
Li Deng, Leo J. Lee, Hagai Attias, Alex Acero
2005 — conf
A probabilistic living cell segmentation model.
ICIP (1)
Nezamoddin Nezamoddini-Kachouie, Leo J. Lee, Paul W. Fieguth
2004 — conf
A multimodal variational approach to learning and inference in switching state space models [speech processing application].
ICASSP (5)
Leo J. Lee, Hagai Attias, Li Deng, Paul W. Fieguth
2004 — conf
A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances.
ICASSP (1)
Li Deng, Leo J. Lee, Hagai Attias, Alex Acero
2003 — conf
Parametric contour estimation by simulated annealing.
ICIP (3)
Michael Jamieson, Paul W. Fieguth, Leo J. Lee
2003 — conf
Variational inference and learning for segmental switching state space models of hidden speech dynamics.
ICASSP (1)
Leo J. Lee, Hagai Attias, Li Deng
2001 Misc conf
A functional articulatory dynamic model for speech production.
ICASSP
Leo J. Lee, Paul W. Fieguth, Li Deng