Khanh Dao Duc

21 papers Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Transport-based transfer learning on Electronic Health Records: application to detection of treatment disparities.
J. Am. Medical Informatics Assoc.
Wanxin Li, Saad Ahmed, Yongjin P. Park, Khanh Dao Duc
2025 J jnl
A comprehensive survey and benchmark of deep learning-based methods for atomic model building from cryo-electron microscopy density maps.
Briefings Bioinform.
Chenwei Zhang, Anne Condon, Khanh Dao Duc
2025 J jnl
CryoSAMU: Enhancing 3D Cryo-EM Density Maps of Protein Structures at Intermediate Resolution with Structure-Aware Multimodal U-Nets.
CoRR
Chenwei Zhang, Anne Condon, Khanh Dao Duc
2025 J jnl
The Joint Gromov Wasserstein Objective for Multiple Object Matching.
CoRR
Aryan Tajmir Riahi, Khanh Dao Duc
2025 J jnl
Wasserstein projection distance for fairness testing of regression models.
CoRR
Wanxin Li, Yongjin P. Park, Khanh Dao Duc
2024 J jnl
Synthetic High-resolution Cryo-EM Density Maps with Generative Adversarial Networks.
CoRR
Chenwei Zhang, Anne Condon, Khanh Dao Duc
2023 J jnl
AlignOT: An Optimal Transport Based Algorithm for Fast 3D Alignment With Applications to Cryogenic Electron Microscopy Density Maps.
IEEE ACM Trans. Comput. Biol. Bioinform.
Aryan Tajmir Riahi, Geoffrey Woollard, Frédéric Poitevin, Anne Condon, Khanh Dao Duc
2023 J jnl
Orthogonal outlier detection and dimension estimation for improved MDS embedding of biological datasets.
Frontiers Bioinform.
Wanxin Li, Jules Mirone, Ashok Prasad, Nina Miolane, Carine Legrand, Khanh Dao Duc
2023 — conf
Quantifying Extrinsic Curvature in Neural Manifolds.
CVPR Workshops
Francisco Acosta, Sophia Sanborn, Khanh Dao Duc, Manu S. Madhav, Nina Miolane
2023 J jnl
RiboXYZ: a comprehensive database for visualizing and analyzing ribosome structures.
Nucleic Acids Res.
Artem Kushner, Anton S. Petrov, Khanh Dao Duc
2023 — conf
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings.
MLCB
Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon
2023 J jnl
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings.
CoRR
Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon
2023 J jnl
Visualizing DNA reaction trajectories with deep graph embedding approaches.
CoRR
Chenwei Zhang, Khanh Dao Duc, Anne Condon
2022 J jnl
Defining an action of SO(d)-rotations on images generated by projections of d-dimensional objects: Applications to pose inference with Geometric VAEs.
CoRR
Nicolas Legendre, Khanh Dao Duc, Nina Miolane
2022 J jnl
Testing geometric representation hypotheses from simulated place cell recordings.
CoRR
Thibault Niederhauser, Adam Lester, Nina Miolane, Khanh Dao Duc, Manu S. Madhav
2021 J jnl
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results.
CoRR
Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Cerný, Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Yanan Long
2021 J jnl
MorphOT: transport-based interpolation between EM maps with UCSF ChimeraX.
Bioinform.
Arthur Ecoffet, Frédéric Poitevin, Khanh Dao Duc
2021 — conf
Using a Riemannian Elastic Metric for Statistical Analysis of Tumor Cell Shape Heterogeneity.
GSI (2)
Wanxin Li, Ashok Prasad, Nina Miolane, Khanh Dao Duc
2016 J jnl
Oscillatory Survival Probability: Analytical and Numerical Study of a Non-Poissonian Exit Time.
Multiscale Model. Simul.
Khanh Dao Duc, Zeev Schuss, David Holcman
2015 J jnl
Synaptic dynamics and neuronal network connectivity are reflected in the distribution of times in Up states.
Frontiers Comput. Neurosci.
Khanh Dao Duc, Pierre Parutto, Xiaowei Chen, Jérôme Epsztein, Arthur Konnerth, David Holcman
2015 J jnl
The Neuroglial Potassium Cycle during Neurotransmission: Role of Kir4.1 Channels.
PLoS Comput. Biol.
Jérémie Sibille, Khanh Dao Duc, David Holcman, Nathalie Rouach