Charles Jones

Orcid: 0000-0003-4808-6977

According to our database1, Charles Jones authored at least 20 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
OpenSeisML: Open Large-Scale Real Seismic and well-log Dataset for Generative AI.
CoRR, May, 2026

Elucidating the Design Space of Flow Matching for Cellular Microscopy.
CoRR, March, 2026

2025
Representation Invariance and Allocation: When Subgroup Balance Matters.
CoRR, December, 2025

A Primer on Causal and Statistical Dataset Biases for Fair and Robust Image Analysis.
CoRR, September, 2025

Automatic Dataset Shift Identification to Support Safe Deployment of Medical Imaging AI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Subgroups Matter for Robust Bias Mitigation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Rethinking Fair Representation Learning for Performance-Sensitive Tasks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Flow Stochastic Segmentation Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Automatic dataset shift identification to support root cause analysis of AI performance drift.
CoRR, 2024

Mitigating Attribute Amplification in Counterfactual Image Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Developing effective wildfire risk mitigation plans for the wildland urban interface.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023

Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio.
CoRR, 2023

No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging.
CoRR, 2023

The Role of Subgroup Separability in Group-Fair Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Structured Uncertainty in the Observation Space of Variational Autoencoders.
Trans. Mach. Learn. Res., 2022

Risk of Bias in Chest X-ray Foundation Models.
CoRR, 2022

Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias.
CoRR, 2022

2020
An Event-Driven Approach to Serverless Seismic Imaging in the Cloud.
IEEE Trans. Parallel Distributed Syst., 2020

2019
Serverless seismic imaging in the cloud.
CoRR, 2019


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