Khanh Dao Duc

According to our database, Khanh Dao Duc authored at least 21 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Scalable Identification and Prioritization of Requisition-Specific Personal Competencies Using Large Language Models.

Wanxin Li, Denver McNeney, Nivedita Prabhu, Charlene Zhang, Renee Barr, Matthew Kitching, Khanh Dao Duc, Anthony S. Boyce

CoRR, April, 2026

Transport-based transfer learning on Electronic Health Records: application to detection of treatment disparities.

Wanxin Li, Saad Ahmed, Yongjin P. Park, Khanh Dao Duc

J. Am. Medical Informatics Assoc., 2026

2025

The Joint Gromov Wasserstein Objective for Multiple Object Matching.

Aryan Tajmir Riahi, Khanh Dao Duc

CoRR, November, 2025

Wasserstein projection distance for fairness testing of regression models.

Wanxin Li, Yongjin P. Park, Khanh Dao Duc

CoRR, October, 2025

A comprehensive survey and benchmark of deep learning-based methods for atomic model building from cryo-electron microscopy density maps.

Chenwei Zhang, Anne Condon, Khanh Dao Duc

Briefings Bioinform., July, 2025

CryoSAMU: Enhancing 3D Cryo-EM Density Maps of Protein Structures at Intermediate Resolution with Structure-Aware Multimodal U-Nets.

Chenwei Zhang, Anne Condon, Khanh Dao Duc

CoRR, March, 2025

2024

Synthetic High-resolution Cryo-EM Density Maps with Generative Adversarial Networks.

Chenwei Zhang, Anne Condon, Khanh Dao Duc

CoRR, 2024

2023

Orthogonal outlier detection and dimension estimation for improved MDS embedding of biological datasets.

Wanxin Li, Jules Mirone, Ashok Prasad, Nina Miolane, Carine Legrand, Khanh Dao Duc

Frontiers Bioinform., May, 2023

RiboXYZ: a comprehensive database for visualizing and analyzing ribosome structures.

Artem Kushner, Anton S. Petrov, Khanh Dao Duc

Nucleic Acids Res., January, 2023

AlignOT: An Optimal Transport Based Algorithm for Fast 3D Alignment With Applications to Cryogenic Electron Microscopy Density Maps.

Aryan Tajmir Riahi, Geoffrey Woollard, Frédéric Poitevin, Anne Condon, Khanh Dao Duc

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Visualizing DNA reaction trajectories with deep graph embedding approaches.

Chenwei Zhang, Khanh Dao Duc, Anne Condon

CoRR, 2023

ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings.

Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon

Proceedings of the Machine Learning in Computational Biology, November 30, 2023

Quantifying Extrinsic Curvature in Neural Manifolds.

Francisco Acosta, Sophia Sanborn, Khanh Dao Duc, Manu S. Madhav, Nina Miolane

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Testing geometric representation hypotheses from simulated place cell recordings.

Thibault Niederhauser, Adam Lester, Nina Miolane, Khanh Dao Duc, Manu S. Madhav

CoRR, 2022

Defining an action of SO(d)-rotations on images generated by projections of d-dimensional objects: Applications to pose inference with Geometric VAEs.

Nicolas Legendre, Khanh Dao Duc, Nina Miolane

CoRR, 2022

2021

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results.

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

CoRR, 2021

MorphOT: transport-based interpolation between EM maps with UCSF ChimeraX.

Arthur Ecoffet, Frédéric Poitevin, Khanh Dao Duc

Bioinform., 2021

Using a Riemannian Elastic Metric for Statistical Analysis of Tumor Cell Shape Heterogeneity.

Wanxin Li, Ashok Prasad, Nina Miolane, Khanh Dao Duc

Proceedings of the Geometric Science of Information - 6th International Conference, 2021

2016

Oscillatory Survival Probability: Analytical and Numerical Study of a Non-Poissonian Exit Time.

Khanh Dao Duc, Zeev Schuss, David Holcman

Multiscale Model. Simul., 2016

2015

The Neuroglial Potassium Cycle during Neurotransmission: Role of Kir4.1 Channels.

Jérémie Sibille, Khanh Dao Duc, David Holcman, Nathalie Rouach

PLoS Comput. Biol., 2015

Synaptic dynamics and neuronal network connectivity are reflected in the distribution of times in Up states.

Khanh Dao Duc, Pierre Parutto, Xiaowei Chen, Jérôme Epsztein, Arthur Konnerth, David Holcman

Frontiers Comput. Neurosci., 2015