A functional articulatory dynamic model for speech production. - Leo J. Lee; Paul W. Fieguth; Li Deng 001 (ICASSP, 2001)

Variational inference and learning for segmental switching state space models of hidden speech dynamics. - Leo J. Lee; Hagai Attias; Li Deng 001 (ICASSP (1), 2003)

Parametric contour estimation by simulated annealing. - Michael Jamieson; Paul W. Fieguth; Leo J. Lee (ICIP (3), 2003)

A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances. - Li Deng 001; Leo J. Lee; Hagai Attias; Alex Acero (ICASSP (1), 2004)

A multimodal variational approach to learning and inference in switching state space models [speech processing application]. - Leo J. Lee; Hagai Attias; Li Deng 001; Paul W. Fieguth (ICASSP (5), 2004)

A probabilistic living cell segmentation model. - Nezamoddin Nezamoddini-Kachouie; Leo J. Lee; Paul W. Fieguth (ICIP (1), 2005)

Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model. - Li Deng 001; Leo J. Lee; Hagai Attias; Alex Acero (IEEE Trans. Speech Audio Process., 2007)

Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data. - Boyko Kakaradov; Hui Yuan Xiong; Leo J. Lee; Nebojsa Jojic; Brendan J. Frey (BMC Bioinform., 2012)

Deep learning of the tissue-regulated splicing code. - Michael K. K. Leung; Hui Yuan Xiong; Leo J. Lee; Brendan J. Frey (Bioinform., 2014)

Generating and designing DNA with deep generative models. - Nathan Killoran; Leo J. Lee; Andrew Delong; David Duvenaud; Brendan J. Frey (CoRR, 2017)

Energy-based Modelling for Single-cell Data Annotation. - Tianyi Liu; Philip Fradkin; Lazar Atanackovic; Leo J. Lee (MLCB, 2022)

A graph neural network approach for molecule carcinogenicity prediction. - Philip Fradkin; Adamo Young; Lazar Atanackovic; Brendan J. Frey; Leo J. Lee; Bo Wang 044 (Bioinform., 2022)

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets. - Lazar Atanackovic; Alexander Tong 001; Bo Wang; Leo J. Lee; Yoshua Bengio; Jason S. Hartford (NeurIPS, 2023)

DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks. - Lazar Atanackovic; Alexander Tong 001; Jason S. Hartford; Leo J. Lee; Bo Wang; Yoshua Bengio (CoRR, 2023)

Splicing Up Your Predictions with RNA Contrastive Learning. - Philip Fradkin; Ruian Shi; Bo Wang 044; Brendan J. Frey; Leo J. Lee (CoRR, 2023)

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold. - Lazar Atanackovic; Xi Zhang; Brandon Amos; Mathieu Blanchette; Leo J. Lee; Yoshua Bengio; Alexander Tong 001; Kirill Neklyudov (ICLR, 2025)