Marissa Connor

According to our database, Marissa Connor authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing.

Keltin Grimes, Marco Christiani, David Shriver, Marissa Catherine Connor

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning Internal Representations of 3D Transformations From 2D Projected Inputs.

Marissa Connor, Bruno A. Olshausen, Christopher Rozell

Neural Comput., 2024

The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability.

Stephen Casper, Jieun Yun, Joonhyuk Baek, Yeseong Jung, Minhwan Kim, Kiwan Kwon, Saerom Park, Hayden Moore, David Shriver, Marissa Connor, Keltin Grimes, Angus Nicolson, Arush Tagade, Jessica Rumbelow, Hieu Minh Nguyen, Dylan Hadfield-Menell

CoRR, 2024

2023

Learning Identity-Preserving Transformations on Data Manifolds.

Marissa Catherine Connor, Kion Fallah, Christopher John Rozell

Trans. Mach. Learn. Res., 2023

2022

Structured Learning with Manifold Representations of Natural Data Variations.

Marissa Connor

PhD thesis, 2022

Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning.

Marissa Connor, Vincent Emanuele

CoRR, 2022

2021

Variational Autoencoder with Learned Latent Structure.

Marissa Connor, Gregory Canal, Christopher Rozell

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Generative causal explanations of black-box classifiers.

Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark A. Davenport

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model.

Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Representing Closed Transformation Paths in Encoded Network Latent Space.

Marissa Connor, Christopher Rozell

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020