| Generative causal explanations of black-box classifiers M O'Shaughnessy, G Canal, M Connor, C Rozell, M Davenport Advances in neural information processing systems 33, 5453-5467, 2020 | 71 | 2020 |
| Variational autoencoder with learned latent structure M Connor, G Canal, C Rozell International conference on artificial intelligence and statistics, 2359-2367, 2021 | 38 | 2021 |
| Cingulate dynamics track depression recovery with deep brain stimulation S Alagapan, KS Choi, S Heisig, P Riva-Posse, A Crowell, V Tiruvadi, ... Nature 622 (7981), 130-138, 2023 | 33 | 2023 |
| Representing closed transformation paths in encoded network latent space M Connor, C Rozell Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3666-3675, 2020 | 28 | 2020 |
| Performance bounds for an OFDM-based joint radar and communications system JR Krier, MC Norko, JT Reed, RJ Baxley, AD Lanterman, X Ma, JR Barry MILCOM 2015-2015 IEEE Military Communications Conference, 511-516, 2015 | 24 | 2015 |
| Scalable spectrum situational awareness using devices of opportunity J Connor, T Green, A Jovancevic, J Koss, R Krishnan, M Norko, W Ogle, ... MILCOM 2012-2012 IEEE Military Communications Conference, 1-5, 2012 | 9 | 2012 |
| A peer-mentoring experience for graduate students P Bhatti, M Connor, J Yao, D Staiculescu, R Poproski IEEE Potentials 39 (5), 6-11, 2020 | 7 | 2020 |
| Learning identity-preserving transformations on data manifolds M Connor, K Fallah, C Rozell arXiv preprint arXiv:2106.12096, 2021 | 6 | 2021 |
| Rethinking backdoor data poisoning attacks in the context of semi-supervised learning M Connor, V Emanuele arXiv preprint arXiv:2212.02582, 2022 | 1 | 2022 |
| The PICASSO algorithm for Bayesian localization via paired comparisons in a union of subspaces model G Canal, M Connor, J Jin, N Nadagouda, M O’Shaughnessy, CJ Rozell, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 1 | 2020 |
| Unsupervised learning of manifold models for neural coding of physical transformations in the ventral visual pathway M Connor, C Rozell Neural Information Processing Systems (NIPS) Workshop, Brains and Bits …, 2016 | 1 | 2016 |
| The SaTML'24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability S Casper, J Yun, J Baek, Y Jung, M Kim, K Kwon, S Park, H Moore, ... arXiv preprint arXiv:2404.02949, 2024 | | 2024 |
| Methods for generating and providing causal explanations of artificial intelligence models and devices thereof M O'shaughnessy, G Canal, M Connor, M Davenport, CJ Rozell US Patent App. 18/011,629, 2023 | | 2023 |
| Learning Internal Representations of 3D Transformations from 2D Projected Inputs M Connor, B Olshausen, C Rozell arXiv preprint arXiv:2303.17776, 2023 | | 2023 |
| Transfer Learning on Manifolds via Learned Transport Operators M Connor, C Rozell | | 2018 |
Christopher RozellJulian T. Hightower Chaired Professor of Electrical & Computer Engineering, Georgia TechVerified email at gatech.edu
