Omead Pooladzandi

18 papers A* 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Implicit Bias and Convergence of Matrix Stochastic Mirror Descent. CoRR Danil Akhtiamov, Reza Ghane, Omead Pooladzandi, Babak Hassibi
2025	J	`jnl`	Diverse Imitation Learning via Self-Organizing Generative Models. IEEE Trans. Neural Networks Learn. Syst. Arash Vahabpour, Tianyi Wang, Qiujing Lu, Omead Pooladzandi, Vwani Roychowdhury
2025	J	`jnl`	PUREVQ-GAN: Defending Data Poisoning Attacks through Vector-Quantized Bottlenecks. CoRR Alexander Branch, Omead Pooladzandi, Radin Khosraviani, Sunay Gajanan Bhat, Jeffrey Jiang, Gregory J. Pottie
2025	J	`jnl`	Scaling Behavior of Discrete Diffusion Language Models. CoRR Dimitri von Rütte, Janis Fluri, Omead Pooladzandi, Bernhard Schölkopf, Thomas Hofmann, Antonio Orvieto
2024	J	`jnl`	Curvature-Informed SGD via General Purpose Lie-Group Preconditioners. CoRR Omead Pooladzandi, Xilin Li
2024	J	`jnl`	PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models. CoRR Omead Pooladzandi, Jeffrey Jiang, Sunay Bhat, Gregory J. Pottie
2024	A*	`conf`	PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics. NeurIPS Omead Pooladzandi, Sunay Bhat, Jeffrey Jiang, Alexander Branch, Gregory J. Pottie
2024	J	`jnl`	PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics. CoRR Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Alexander Branch, Gregory J. Pottie
2023	—	`conf`	Exploring the Potential of VAE Decoders for Enhanced Speech Re-Synthesis. SSP Omead Pooladzandi, Xilin Li, Yang Gao, Lalin Theverapperuma
2023	—	`—`	Fast Training of Generalizable Deep Neural Networks Omead Pooladzandi
2023	J	`jnl`	Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization. CoRR Omead Pooladzandi, Pasha Khosravi, Erik Nijkamp, Baharan Mirzasoleiman
2023	J	`jnl`	Towards Composable Distributions of Latent Space Augmentations. CoRR Omead Pooladzandi, Jeffrey Jiang, Sunay Bhat, Gregory J. Pottie
2022	A*	`conf`	Adaptive Second Order Coresets for Data-efficient Machine Learning. ICML Omead Pooladzandi, David Davini, Baharan Mirzasoleiman
2022	J	`jnl`	Adaptive Second Order Coresets for Data-efficient Machine Learning. CoRR Omead Pooladzandi, David Davini, Baharan Mirzasoleiman
2022	J	`jnl`	De-Biasing Generative Models using Counterfactual Methods. CoRR Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Gregory J. Pottie
2022	J	`jnl`	Diverse Imitation Learning via Self-Organizing Generative Models. CoRR Arash Vahabpour, Tianyi Wang, Qiujing Lu, Omead Pooladzandi, Vwani P. Roychowdhury
2022	J	`jnl`	Hypothesis Testing using Causal and Causal Variational Generative Models. CoRR Jeffrey Jiang, Omead Pooladzandi, Sunay Bhat, Gregory J. Pottie
2022	J	`jnl`	Improving Levenberg-Marquardt Algorithm for Neural Networks. CoRR Omead Pooladzandi, Yiming Zhou