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Omead Pooladzandi

Observed names: POOLADZANDI, OMEAD BRANDON, Pooladzandi, Omead
ORCID: 0009-0009-7891-0219
Observed ORCID: 0009-0009-7891-0219
OpenAlex ID: A5016941537
Spinal robotics in cervical spine surgery: a systematic review with key concepts and technical considerations
2022 · Ryan S. Beyer, Andrew Nguyen, et al. · Journal of Neurosurgery Spine · 40
Adaptive Second Order Coresets for Data-efficient Machine Learning
2022 · Pooladzandi, Omead, Davini, David, et al. · arXiv (Cornell University) · 12
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Diverse Imitation Learning via Self-Organizing Generative Models
2024 · Arash Vahabpour, Tianyi Wang, et al. · IEEE Transactions on Neural Networks and Learning Systems · 5
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Effect of the administration route on the hemostatic efficacy of tranexamic acid in patients undergoing short-segment posterior lumbar interbody fusion: a systematic review and meta-analysis
2024 · Matthew J. Hatter, Zach Pennington, et al. · Journal of Neurosurgery Spine · 5
Improving Levenberg-Marquardt Algorithm for Neural Networks
2022 · Pooladzandi, Omead, Zhou, Yiming · arXiv (Cornell University) · 4
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Static Versus Expandable Cages in Minimally Invasive Lateral Lumbar Interbody Fusion
2024 · Ryan S. Beyer, Tara Shooshani, et al. · Clinical Spine Surgery A Spine Publication · 3
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
2024 · Sunay Bhat, Jeffrey Jiang, et al. · neural information processing systems · 2
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Field Measures Are All You Need: Predicting Need for Surgery in Elderly Ground-Level Fall Patients via Machine Learning
2023 · Tara Shooshani, Omead Pooladzandi, et al. · The American Surgeon · 2
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Exploring the Potential of VAE Decoders for Enhanced Speech Re-Synthesis
2023 · Omead Pooladzandi, XiLin Li, et al. · 1
De-Biasing Generative Models using Counterfactual Methods
2022 · Bhat, Sunay, Jiang, Jeffrey, et al. · arXiv (Cornell University) · 1
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Implicit Bias and Convergence of Matrix Stochastic Mirror Descent
2026 · Danil Akhtiamov, Reza Ghane, et al. · IEEE International Symposium on Information Theory (ISIT)
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Scaling Behavior of Discrete Diffusion Language Models
2025 · von Rütte, Dimitri, Fluri, Janis, et al. · arXiv (Cornell University)
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PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models
2024 · Pooladzandi, Omead, Jiang, Jeffrey, et al. · arXiv (Cornell University)
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Curvature-Informed SGD via General Purpose Lie-Group Preconditioners
2024 · Pooladzandi, Omead, Li, Xi-Lin · arXiv (Cornell University)
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Towards Composable Distributions of Latent Space Augmentations
2023 · Pooladzandi, Omead, Jiang, Jeffrey, et al. · arXiv (Cornell University)
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Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization
2023 · Pooladzandi, Omead, Khosravi, Pasha, et al. · arXiv (Cornell University)
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Causal Structural Hypothesis Testing and Data Generation Models
2022 · Jiang, Jeffrey, Pooladzandi, Omead, et al. · arXiv (Cornell University)
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Works count: 19
Citation count: 75
H-index: 4
I10-index: 2
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