Hamid Javadi - RankMe

24 papers A* 4A 2Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comprehensive Review of Cogging Torque Reduction Strategies in Axial-Field Flux-Switching Permanent-Magnet Machines. IEEE Access Hamid Ebrahimi, Hossein Torkaman, Alireza Sohrabzadeh, Hamid Javadi
2025	J	`jnl`	Spectral Calibration of the Microwave Electrojet Magnetogram Radiometer Instrument on the Electrojet Zeeman Imaging Explorer Mission. IEEE Trans. Geosci. Remote. Sens. Sidharth Misra, Sharmila Padmanabhan, Pekka Kangaslahti, Rick Cofield, Oliver Montes, Isaac Ramos-Pérez, Aram Dergevorkian, Ryan Scott White, Joelle Cooperrider, Heather Lim, Hamid Javadi, Xavier Bosch-Lluis, Mandy Wang, Omkar Pradhan, Albin J. Gasiewski, Jeng-Hwa Yee
2024	J	`jnl`	Asymptotics of the Sketched Pseudoinverse. SIAM J. Math. Data Sci. Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani
2023	A	`conf`	A Blessing of Dimensionality in Membership Inference through Regularization. AISTATS Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2023	J	`jnl`	A new step-up DC-DC converter with high gain for photovoltaic applications. Int. J. Circuit Theory Appl. Majid Yavari, Ahmad Salemnia, Hamid Javadi
2022	J	`jnl`	A simplified implementation of NLSPWM control strategy for SqZS inverter via model-driven processor programming method. Int. J. Circuit Theory Appl. Meraj Noroozi, Farhad Haghjoo, Hamid Javadi, Mohammad Reza Zolghadri
2022	J	`jnl`	Asymptotics of the Sketched Pseudoinverse. CoRR Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani
2022	J	`jnl`	Benign Overparameterization in Membership Inference with Early Stopping. CoRR Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2022	A*	`conf`	Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. NeurIPS Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2022	J	`jnl`	Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. CoRR Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2021	—	`conf`	Minipatch Learning as Implicit Ridge-Like Regularization. BigComp Tianyi Yao, Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk, Genevera I. Allen
2021	A*	`conf`	The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. NeurIPS Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
2021	J	`jnl`	The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. CoRR Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
2020	J	`jnl`	RF and Electronics Design of the Compact Ocean Wind Vector Radiometer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Frank Maiwald, Oliver Montes, Sharmila Padmanabhan, Amy Wu, Zachary Pannell, Violet Torossian, Alireza Bakhshi, Damon Russell, Jordan M. Tanabe, Hamid Javadi, Chris Holman, Maurice Aghion, Richard Redick, Amarit Kitiyakara, Shannon T. Brown
2020	A	`conf`	The Implicit Regularization of Ordinary Least Squares Ensembles. AISTATS Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
2019	J	`jnl`	A Hessian Based Complexity Measure for Deep Networks. CoRR Hamid Javadi, Randall Balestriero, Richard G. Baraniuk
2019	A*	`conf`	An Instability in Variational Inference for Topic Models. ICML Behrooz Ghorbani, Hamid Javadi, Andrea Montanari
2019	J	`jnl`	The Implicit Regularization of Ordinary Least Squares Ensembles. CoRR Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
2018	J	`jnl`	A Statistical Model for Motifs Detection. IEEE Trans. Inf. Theory Hamid Javadi, Andrea Montanari
2018	J	`jnl`	False Discovery Rate Control via Debiased Lasso. CoRR Adel Javanmard, Hamid Javadi
2018	A*	`conf`	Porcupine Neural Networks: Approximating Neural Network Landscapes. NeurIPS Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse
2017	J	`jnl`	Non-negative Matrix Factorization via Archetypal Analysis. CoRR Hamid Javadi, Andrea Montanari
2017	J	`jnl`	Porcupine Neural Networks: (Almost) All Local Optima are Global. CoRR Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse
2017	—	`conf`	Tensor Biclustering. NIPS Soheil Feizi, Hamid Javadi, David Tse