| Wire: Wavelet implicit neural representations V Saragadam, D LeJeune, J Tan, G Balakrishnan, A Veeraraghavan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 55 | 2023 |
| Self-Consuming Generative Models Go MAD S Alemohammad, J Casco-Rodriguez, L Luzi, AI Humayun, H Babaei, ... arXiv preprint arXiv:2307.01850, 2023 | 50 | 2023 |
| The implicit regularization of ordinary least squares ensembles D LeJeune, H Javadi, R Baraniuk International Conference on Artificial Intelligence and Statistics, 3525-3535, 2020 | 47 | 2020 |
| Mission: Ultra large-scale feature selection using count-sketches A Aghazadeh, R Spring, D Lejeune, G Dasarathy, A Shrivastava International Conference on Machine Learning, 80-88, 2018 | 42 | 2018 |
| Implicit Rugosity Regularization via Data Augmentation D LeJeune, R Balestriero, H Javadi, RG Baraniuk arXiv preprint arXiv:1905.11639, 2019 | 18 | 2019 |
| Adaptive Estimation for Approximate -Nearest-Neighbor Computations D LeJeune, R Heckel, R Baraniuk The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 15 | 2019 |
| A Blessing of Dimensionality in Membership Inference through Regularization J Tan, D LeJeune, B Mason, H Javadi, RG Baraniuk International Conference on Artificial Intelligence and Statistics, 10968-10993, 2023 | 12 | 2023 |
| Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection J Matterer, D LeJeune The Thirty-First International Flairs Conference, 2018 | 12 | 2018 |
| Minipatch Learning as Implicit Ridge-Like Regularization T Yao, D LeJeune, H Javadi, RG Baraniuk, GI Allen 2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021 | 9 | 2021 |
| The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization D LeJeune, H Javadi, R Baraniuk Advances in Neural Information Processing Systems 34, 23401-23412, 2021 | 6 | 2021 |
| Thresholding Graph Bandits with GrAPL D LeJeune, G Dasarathy, R Baraniuk International Conference on Artificial Intelligence and Statistics, 2476-2485, 2020 | 6 | 2020 |
| Asymptotics of the Sketched Pseudoinverse D LeJeune, P Patil, H Javadi, RG Baraniuk, RJ Tibshirani arXiv preprint arXiv:2211.03751, 2022 | 5 | 2022 |
| Extreme Compressed Sensing of Poisson Rates from Multiple Measurements PK Kota, D LeJeune, RA Drezek, RG Baraniuk IEEE Transactions on Signal Processing 70, 2388-2401, 2022 | 5 | 2022 |
| Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization D LeJeune, J Liu, R Heckel arXiv preprint arXiv:2210.11589, 2022 | 3 | 2022 |
| Wearing a mask: Compressed representations of variable-length sequences using recurrent neural tangent kernels S Alemohammad, H Babaei, R Balestriero, MY Cheung, AI Humayun, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
| The common intuition to transfer learning can win or lose: Case studies for linear regression Y Dar, D LeJeune, RG Baraniuk arXiv preprint arXiv:2103.05621, 2021 | 3 | 2021 |
| Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning P Patil, D LeJeune arXiv preprint arXiv:2310.04357, 2023 | 2 | 2023 |
| Ridge Regularization by Randomization in Linear Ensembles D LeJeune Rice University, 2022 | 1 | 2022 |
| Benign Overparameterization in Membership Inference with Early Stopping J Tan, D LeJeune, B Mason, H Javadi, RG Baraniuk arXiv preprint arXiv:2205.14055, 2022 | 1 | 2022 |
| An Adaptive Tangent Feature Perspective of Neural Networks D LeJeune, S Alemohammad Conference on Parsimony and Learning, 379-394, 2024 | | 2024 |
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
