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Omead Pooladzandi
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2020 – today
- 2024
- [i10]Omead Pooladzandi, Xilin Li:
Curvature-Informed SGD via General Purpose Lie-Group Preconditioners. CoRR abs/2402.04553 (2024) - [i9]Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Alexander Branch, Gregory J. Pottie:
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics. CoRR abs/2405.18627 (2024) - [i8]Omead Pooladzandi, Jeffrey Jiang, Sunay Bhat, Gregory J. Pottie:
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models. CoRR abs/2405.19376 (2024) - 2023
- [b1]Omead Pooladzandi:
Fast Training of Generalizable Deep Neural Networks. University of California, Los Angeles, USA, 2023 - [c2]Omead Pooladzandi, Xilin Li, Yang Gao, Lalin Theverapperuma:
Exploring the Potential of VAE Decoders for Enhanced Speech Re-Synthesis. SSP 2023: 359-363 - [i7]Omead Pooladzandi, Pasha Khosravi, Erik Nijkamp, Baharan Mirzasoleiman:
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization. CoRR abs/2302.00138 (2023) - [i6]Omead Pooladzandi, Jeffrey Jiang, Sunay Bhat, Gregory J. Pottie:
Towards Composable Distributions of Latent Space Augmentations. CoRR abs/2303.03462 (2023) - 2022
- [c1]Omead Pooladzandi, David Davini, Baharan Mirzasoleiman:
Adaptive Second Order Coresets for Data-efficient Machine Learning. ICML 2022: 17848-17869 - [i5]Arash Vahabpour, Tianyi Wang, Qiujing Lu, Omead Pooladzandi, Vwani P. Roychowdhury:
Diverse Imitation Learning via Self-Organizing Generative Models. CoRR abs/2205.03484 (2022) - [i4]Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Gregory J. Pottie:
De-Biasing Generative Models using Counterfactual Methods. CoRR abs/2207.01575 (2022) - [i3]Omead Pooladzandi, David Davini, Baharan Mirzasoleiman:
Adaptive Second Order Coresets for Data-efficient Machine Learning. CoRR abs/2207.13887 (2022) - [i2]Jeffrey Jiang, Omead Pooladzandi, Sunay Bhat, Gregory J. Pottie:
Hypothesis Testing using Causal and Causal Variational Generative Models. CoRR abs/2210.11275 (2022) - [i1]Omead Pooladzandi, Yiming Zhou:
Improving Levenberg-Marquardt Algorithm for Neural Networks. CoRR abs/2212.08769 (2022)
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