| Adaptive second order coresets for data-efficient machine learning O Pooladzandi, D Davini, B Mirzasoleiman International Conference on Machine Learning, 17848-17869, 2022 | 43 | 2022 |
| Spinal robotics in cervical spine surgery: a systematic review with key concepts and technical considerations RS Beyer, A Nguyen, NJ Brown, JL Gendreau, MJ Hatter, O Pooladzandi, ... Journal of Neurosurgery: Spine 38 (1), 66-74, 2022 | 18 | 2022 |
| Curvature-Informed SGD via General Purpose Lie-Group Preconditioners O Pooladzandi, XL Li arXiv preprint arXiv:2402.04553, 2024 | 5* | 2024 |
| De-Biasing Generative Models using Counterfactual Methods S Bhat, J Jiang, O Pooladzandi, G Pottie arXiv preprint arXiv:2207.01575, 2022 | 5 | 2022 |
| Exploring the Potential of VAE Decoders for Enhanced Speech Re-Synthesis O Pooladzandi, XL Li, Y Gao, L Theverapperuma 2023 IEEE Statistical Signal Processing Workshop (SSP), 359-363, 2023 | 1 | 2023 |
| Towards Composable Distributions of Latent Space Augmentations O Pooladzandi, J Jiang, S Bhat, G Pottie arXiv preprint arXiv:2303.03462, 2023 | 1 | 2023 |
| Improving Levenberg-Marquardt Algorithm for Neural Networks O Pooladzandi, Y Zhou arXiv preprint arXiv:2212.08769, 2022 | 1 | 2022 |
| Hypothesis Testing using Causal and Causal Variational Generative Models SG Bhat, O Pooladzandi, J Jiang, G Pottie NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 1* | 2022 |
| Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization O Pooladzandi, P Khosravi, E Nijkamp, B Mirzasoleiman NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 1 | 2022 |
| Field measures are all you need: predicting need for surgery in elderly ground-level fall patients via machine learning T Shooshani, O Pooladzandi, A Nguyen, JH Shipley, MH Harris, ... The American Surgeon™ 89 (10), 4095-4100, 2023 | | 2023 |
| Fast Training of Generalizable Deep Neural Networks OB Pooladzandi University of California, Los Angeles, 2023 | | 2023 |
| Causal Structural Hypothesis Testing and Data Generation Models J Jiang, O Pooladzandi, S Bhat, G Pottie arXiv preprint arXiv:2210.11275, 2022 | | 2022 |
| Diverse Imitation Learning via Self-Organizing Generative Models A Vahabpour, T Wang, Q Lu, O Pooladzandi, V Roychowdhury arXiv preprint arXiv:2205.03484, 2022 | | 2022 |
| Detection of Malfunctioning Electronic Components via Deep Learning O Pooladzandi, Z Towfic, D Bell Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2019 | | 2019 |
Baharan MirzasoleimanUCLAVerified email at cs.ucla.edu
