Khanh Dao Duc

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Statistical Analysis

Computational Geometry

Graph Embedding

Riemannian Manifolds

Top Venues

Publications

Chenwei Zhang, Anne Condon, Khanh Dao Duc
Synthetic High-resolution Cryo-EM Density Maps with Generative Adversarial Networks. CoRR (2024)
Aryan Tajmir Riahi, Geoffrey Woollard, Frédéric Poitevin, Anne Condon, Khanh Dao Duc
AlignOT: An Optimal Transport Based Algorithm for Fast 3D Alignment With Applications to Cryogenic Electron Microscopy Density Maps. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Francisco Acosta, Sophia Sanborn, Khanh Dao Duc, Manu S. Madhav, Nina Miolane
Quantifying Extrinsic Curvature in Neural Manifolds. CVPR Workshops (2023)
Wanxin Li, Jules Mirone, Ashok Prasad, Nina Miolane, Carine Legrand, Khanh Dao Duc
Orthogonal outlier detection and dimension estimation for improved MDS embedding of biological datasets. Frontiers Bioinform. 3 (2023)
Artem Kushner, Anton S. Petrov, Khanh Dao Duc
RiboXYZ: a comprehensive database for visualizing and analyzing ribosome structures. Nucleic Acids Res. 51 (D1) (2023)
Chenwei Zhang, Khanh Dao Duc, Anne Condon
Visualizing DNA reaction trajectories with deep graph embedding approaches. CoRR (2023)
Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. CoRR (2023)
Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. MLCB (2023)
Thibault Niederhauser, Adam Lester, Nina Miolane, Khanh Dao Duc, Manu S. Madhav
Testing geometric representation hypotheses from simulated place cell recordings. CoRR (2022)
Nicolas Legendre, Khanh Dao Duc, Nina Miolane
Defining an action of SO(d)-rotations on images generated by projections of d-dimensional objects: Applications to pose inference with Geometric VAEs. CoRR (2022)
Wanxin Li, Ashok Prasad, Nina Miolane, Khanh Dao Duc
Using a Riemannian Elastic Metric for Statistical Analysis of Tumor Cell Shape Heterogeneity. GSI (2) (2021)
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
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. CoRR (2021)
Arthur Ecoffet, Frédéric Poitevin, Khanh Dao Duc
MorphOT: transport-based interpolation between EM maps with UCSF ChimeraX. Bioinform. 36 (22-23) (2021)
Khanh Dao Duc, Zeev Schuss, David Holcman
Oscillatory Survival Probability: Analytical and Numerical Study of a Non-Poissonian Exit Time. Multiscale Model. Simul. 14 (2) (2016)
Jérémie Sibille, Khanh Dao Duc, David Holcman, Nathalie Rouach
The Neuroglial Potassium Cycle during Neurotransmission: Role of Kir4.1 Channels. PLoS Comput. Biol. 11 (3) (2015)
Khanh Dao Duc, Pierre Parutto, Xiaowei Chen, Jérôme Epsztein, Arthur Konnerth, David Holcman
Synaptic dynamics and neuronal network connectivity are reflected in the distribution of times in Up states. Frontiers Comput. Neurosci. 9 (2015)