Alexandre H. Thiery

Orcid: 0000-0002-9542-509X

According to our database1, Alexandre H. Thiery authored at least 32 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference.
IEEE Trans. Signal Process., 2024

Introducing the Biomechanics-Function Relationship in Glaucoma: Improved Visual Field Loss Predictions from intraocular pressure-induced Neural Tissue Strains.
CoRR, 2024

Out-of-Distribution Detection with a Single Unconditional Diffusion Model.
CoRR, 2024

2023
GIT-Net: Generalized Integral Transform for Operator Learning.
Trans. Mach. Learn. Res., 2023

The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage.
CoRR, 2023

Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions.
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.
CoRR, 2022

A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation.
CoRR, 2022

AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing.
CoRR, 2022

Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions.
CoRR, 2022

Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma.
CoRR, 2022

Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis.
CoRR, 2022

Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning.
CoRR, 2022

Pretrained Equivariant Features Improve Unsupervised Landmark Discovery.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Generalized and Robust Framework for Timestamp Supervision in Temporal Action Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Sequential ensemble transform for Bayesian inverse problems.
J. Comput. Phys., 2021

3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen.
CoRR, 2021

The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker.
CoRR, 2021

Uncertainty Quantification and Deep Ensembles.
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.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence.
CoRR, 2020

OCT-GAN: Single Step Shadow and Noise Removal from Optical Coherence Tomography Images of the Human Optic Nerve Head.
CoRR, 2020

Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning.
CoRR, 2020

2019
DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images.
CoRR, 2019

Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images.
CoRR, 2019

On the relationship between variational inference and adaptive importance sampling.
CoRR, 2019

2018
On coupling particle filter trajectories.
Stat. Comput., 2018

A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head.
CoRR, 2018

DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images.
CoRR, 2018

2017
A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head.
CoRR, 2017

2016
Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics.
J. Mach. Learn. Res., 2016


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