Georgia Channing

According to our database, Georgia Channing authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Fact-Checking With Contextual Narratives: Leveraging Retrieval-Augmented LLMs for Social Media Analysis.

Arka Ujjal Dey, Muhammad Junaid Awan, Georgia Channing, Christian Schroeder de Witt, John P. Collomosse

IEEE Trans. Comput. Soc. Syst., June, 2026

Contrastive Image-Metadata Pre-Training for Materials Transmission Electron Microscopy.

Georgia Channing, Debora Keller, Marta D. Rossell, Philip Torr, Rolf Erni, Stig Helveg, Henrik Eliasson

CoRR, April, 2026

AI for scientific discovery is a social problem.

Georgia Channing, Avijit Ghosh

Patterns, 2026

2025

LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models.

Siddharth Betala, Samuel P. Gleason, Ali Ramlaoui, Andy Xu, Georgia Channing, Daniel Levy, Clémentine Fourrier, Nikita Kazeev, Chaitanya K. Joshi, Sékou-Oumar Kaba, Félix Therrien, Alex Hernández-García, Rocío Mercado, N. M. Anoop Krishnan, Alexandre Duval

CoRR, December, 2025

LeMat-Synth: a multi-modal toolbox to curate broad synthesis procedure databases from scientific literature.

Magdalena Lederbauer, Siddharth Betala, Xiyao Li, Ayush Jain, Amine Sehaba, Georgia Channing, Grégoire Germain, Anamaria Leonescu, Faris Flaifil, Alfonso Amayuelas, Alexandre Nozadze, Stefan P. Schmid, Mohd Zaki, Sudheesh Kumar Ethirajan, Elton Pan, Mathilde Franckel, Alexandre Duval, N. M. Anoop Krishnan, Samuel P. Gleason

CoRR, October, 2025

PSyDUCK: Training-Free Steganography for Latent Diffusion.

Georgia Channing, Aqib Mahfuz, Mark van der Wilk, Philip Torr, Fabio Pizzati, Christian Schröder de Witt

CoRR, January, 2025

PSyDUCK: Hiding Information in the Denoising Process of Latent Diffusion Models.

Aqib Mahfuz, Georgia Channing, Mark van der Wilk, Philip H. S. Torr, Fabio Pizzati, Christian Schroeder de Witt

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2025

2024

Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap.

Georgia Channing, Juil Sock, Ronald Clark, Philip Torr, Christian Schröder de Witt

CoRR, 2024

2023

Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification.

Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer

Proceedings of the 52nd International Conference on Parallel Processing, 2023

VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology.

Seoyoung An, Georgia Channing, Catherine D. Schuman, Michela Taufer

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets.

Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Spectral DefocusCam: Compressive Hyperspectral Imaging from Defocus Measurements.

Georgia Channing

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022