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ORCIDKhanh Dao Duc
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Journal Articles
- 2023
[j7]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)- [j6]Artem Kushner, Anton S. Petrov, Khanh Dao Duc:
RiboXYZ: a comprehensive database for visualizing and analyzing ribosome structures. Nucleic Acids Res. 51(D1): 509-516 (2023) - [j5]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): 3842-3850 (2023) - 2021
- [j4]Arthur Ecoffet, Frédéric Poitevin, Khanh Dao Duc:
MorphOT: transport-based interpolation between EM maps with UCSF ChimeraX. Bioinform. 36(22-23): 5528-5529 (2021) - 2016
- [j3]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): 772-798 (2016) - 2015
- [j2]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: 96 (2015) - [j1]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)
Conference and Workshop Papers
- 2023
- [c3]Francisco Acosta, Sophia Sanborn, Khanh Dao Duc, Manu S. Madhav, Nina Miolane:
Quantifying Extrinsic Curvature in Neural Manifolds. CVPR Workshops 2023: 610-619 - [c2]Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon:
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. MLCB 2023: 148-162 - 2021
- [c1]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: 583-592
Informal and Other Publications
- 2024
- [i6]Chenwei Zhang, Anne Condon, Khanh Dao Duc:
Synthetic High-resolution Cryo-EM Density Maps with Generative Adversarial Networks. CoRR abs/2407.17674 (2024) - 2023
- [i5]Chenwei Zhang, Khanh Dao Duc, Anne Condon:
Visualizing DNA reaction trajectories with deep graph embedding approaches. CoRR abs/2311.03409 (2023) - [i4]Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon:
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. CoRR abs/2311.03411 (2023) - 2022
- [i3]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 abs/2207.11582 (2022) - [i2]Thibault Niederhauser, Adam Lester, Nina Miolane, Khanh Dao Duc, Manu S. Madhav:
Testing geometric representation hypotheses from simulated place cell recordings. CoRR abs/2211.09096 (2022) - 2021
- [i1]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 abs/2108.09810 (2021)
Coauthor Index
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