Alexandre H. Thiery

According to our database, Alexandre H. Thiery authored at least 30 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference.

Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre Hoang Thiery

CoRR, 2023

GIT-Net: Generalized Integral Transform for Operator Learning.

Chao Wang, Alexandre Hoang Thiery

CoRR, 2023

The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage.

Fabian A. Braeu, Thanadet Chuangsuwanich, Tin Aung Tun, Shamira A. Perera, Rahat Husain, Aiste Kadziauskiene, Leopold Schmetterer, Alexandre H. Thiéry, George Barbastathis, Tin Aung, Michaël J. A. Girard

CoRR, 2023

Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions.

Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery

Proceedings of the International Conference on Machine Learning, 2023

2022

Are Macula or Optic Nerve Head Structures better at Diagnosing Glaucoma? An Answer using AI and Wide-Field Optical Coherence Tomography.

Charis Y. N. Chiang, Fabian Braeu, Thanadet Chuangsuwanich, Royston K. Y. Tan, Jacqueline Chua, Leopold Schmetterer, Alexandre H. Thiery, Martin L. Buist, Michaël J. A. Girard

CoRR, 2022

A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation.

Rahul Rahaman, Dipika Singhania, Alexandre H. Thiery, Angela Yao

CoRR, 2022

AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing.

Fabian A. Braeu, Thanadet Chuangsuwanich, Tin Aung Tun, Alexandre H. Thiery, Tin Aung, George Barbastathis, Michaël J. A. Girard

CoRR, 2022

Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions.

Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery

CoRR, 2022

Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma.

Alexandre H. Thiéry, Fabian Braeu, Tin Aung Tun, Tin Aung, Michael J. A. Girard

CoRR, 2022

Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis.

Fabian A. Braeu, Alexandre H. Thiéry, Tin Aung Tun, Aiste Kadziauskiene, George Barbastathis, Tin Aung, Michaël J. A. Girard

CoRR, 2022

Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning.

Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry

CoRR, 2022

Pretrained Equivariant Features Improve Unsupervised Landmark Discovery.

Rahul Rahaman, Atin Ghosh, Alexandre H. Thiery

Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Generalized and Robust Framework for Timestamp Supervision in Temporal Action Segmentation.

Rahul Rahaman, Dipika Singhania, Alexandre H. Thiery, Angela Yao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Sequential ensemble transform for Bayesian inverse problems.

Aaron Myers, Alexandre H. Thiéry, Kainan Wang, Tan Bui-Thanh

J. Comput. Phys., 2021

3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen.

Michael J. A. Girard, Satish Kumar Panda, Tin Aung Tun, Elisabeth A. Wibroe, Raymond P. Najjar, Aung Tin, Alexandre H. Thiéry, Steffen Hamann, Clare Fraser, Dan Milea

CoRR, 2021

The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker.

Satish Kumar Panda, Haris Cheong, Tin Aung Tun, Thanadet Chuangsuwanich, Aiste Kadziauskiene, Vijayalakshmi Senthil, Ramaswami Krishnadas, Martin L. Buist, Shamira A. Perera, Ching Yu Cheng, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2021

Uncertainty Quantification and Deep Ensembles.

Rahul Rahaman, Alexandre H. Thiéry

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explainable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning.

Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry

Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021

On Data-Augmentation and Consistency-Based Semi-Supervised Learning.

Atin Ghosh, Alexandre H. Thiéry

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence.

Satish Kumar Panda, Haris Cheong, Tin Aung Tun, Sripad Krishna Devella, Ramaswami Krishnadas, Martin L. Buist, Shamira A. Perera, Ching Yu Cheng, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2020

OCT-GAN: Single Step Shadow and Noise Removal from Optical Coherence Tomography Images of the Human Optic Nerve Head.

Haris Cheong, Sripad Krishna Devalla, Thanadet Chuangsuwanich, Tin Aung Tun, Xiaofei Wang, Tin Aung, Leopold Schmetterer, Martin L. Buist, Craig Boote, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2020

Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning.

Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda, Zhang Liang, Giridhar Subramanian, Anirudh Swaminathan, Chin Zhi Yun, Mohan Rajan, Sujatha Mohan, Ramaswami Krishnadas, Vijayalakshmi Senthil, John Mark S. de Leon, Tin Aung Tun, Ching Yu Cheng, Leopold Schmetterer, Shamira A. Perera, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2020

2019

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images.

Haris Cheong, Sripad Krishna Devalla, Tan Hung Pham, Zhang Liang, Tin Aung Tun, Xiaofei Wang, Shamira A. Perera, Leopold Schmetterer, Tin Aung, Craig Boote, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2019

Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images.

Tan Hung Pham, Sripad Krishna Devalla, Aloysius Ang, Soh Zhi Da, Alexandre H. Thiéry, Craig Boote, Ching Yu Cheng, Victor Koh, Michael J. A. Girard

CoRR, 2019

On the relationship between variational inference and adaptive importance sampling.

Axel Finke, Alexandre H. Thiéry

CoRR, 2019

2018

On coupling particle filter trajectories.

Deborshee Sen, Alexandre H. Thiéry, Ajay Jasra

Stat. Comput., 2018

A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head.

Sripad Krishna Devalla, Giridhar Subramanian, Tan Hung Pham, Xiaofei Wang, Shamira A. Perera, Tin Aung Tun, Tin Aung, Leopold Schmetterer, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2018

DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images.

Sripad Krishna Devalla, Prajwal K. Renukanand, Bharathwaj K. Sreedhar, Shamira A. Perera, Jean-Martial Mari, Khai Sing Chin, Tin Aung Tun, Nicholas G. Strouthidis, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2018

2017

A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head.

Sripad Krishna Devalla, Jean-Martial Mari, Tin Aung Tun, Nicholas G. Strouthidis, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2017

2016

Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics.

Yee Whye Teh, Alexandre H. Thiéry, Sebastian J. Vollmer

J. Mach. Learn. Res., 2016