| On the explicit role of initialization on the convergence and implicit bias of overparametrized linear networks H Min, S Tarmoun, R Vidal, E Mallada International Conference on Machine Learning, 7760-7768, 2021 | 41 | 2021 |
| Voronoi-based coverage control of pan/tilt/zoom camera networks O Arslan, H Min, DE Koditschek 2018 IEEE International Conference on Robotics and Automation (ICRA), 5062-5069, 2018 | 34 | 2018 |
| Dynamics concentration of large-scale tightly-connected networks H Min, E Mallada 2019 IEEE 58th Conference on Decision and Control (CDC), 758-763, 2019 | 13 | 2019 |
| Accurate reduced-order models for heterogeneous coherent generators H Min, F Paganini, E Mallada IEEE Control Systems Letters 5 (5), 1741-1746, 2020 | 12 | 2020 |
| Accurate reduced order models for coherent synchronous generators H Min, F Paganini, E Mallada 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 10 | 2019 |
| Early neuron alignment in two-layer relu networks with small initialization H Min, R Vidal, E Mallada The Twelfth International Conference on Learning Representations, 2024 | 9 | 2024 |
| Reinforcement learning with almost sure constraints A Castellano, H Min, E Mallada, JA Bazerque Learning for Dynamics and Control Conference, 559-570, 2022 | 8 | 2022 |
| Coherence and concentration in tightly-connected networks H Min, R Pates, E Mallada arXiv preprint arXiv:2101.00981, 2021 | 7 | 2021 |
| On the Convergence of Gradient Flow on Multi-layer Linear Models H Min, R Vidal, E Mallada International Conference on Machine Learning, 2023 | 5 | 2023 |
| Linear convergence of gradient descent for finite width over-parametrized linear networks with general initialization Z Xu, H Min, S Tarmoun, E Mallada, R Vidal International Conference on Artificial Intelligence and Statistics, 2262-2284, 2023 | 4 | 2023 |
| Learning coherent clusters in weakly-connected network systems H Min, E Mallada Learning for Dynamics and Control Conference, 1167-1179, 2023 | 2 | 2023 |
| Spectral clustering and model reduction for weakly-connected coherent network systems H Min, E Mallada 2023 American Control Conference (ACC), 2957-2962, 2023 | 2 | 2023 |
| A Frequency Domain Analysis of Slow Coherency in Networked Systems H Min, R Pates, E Mallada arXiv preprint arXiv:2302.08438, 2023 | 2 | 2023 |
| Learning to act safely with limited exposure and almost sure certainty A Castellano, H Min, JA Bazerque, E Mallada IEEE Transactions on Automatic Control 68 (5), 2979-2994, 2023 | 2 | 2023 |
| On balancing event and area coverage in mobile sensor networks H Min University of Pennsylvania, 2018 | 1 | 2018 |
| Can Implicit Bias Imply Adversarial Robustness? H Min, R Vidal International Conference on Machine Learning, 35687-35718, 2024 | | 2024 |
| Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation Y Jiang, H Min, B Zhang arXiv preprint arXiv:2402.16765, 2024 | | 2024 |
| Learning safety critics via a non-contractive binary Bellman operator A Castellano, H Min, JA Bazerque, E Mallada 2023 57th Asilomar Conference on Signals, Systems, and Computers, 814-821, 2023 | | 2023 |
| Exploiting Structural Properties in the Analysis of High-dimensional Dynamical Systems H Min Johns Hopkins University, 2023 | | 2023 |
| Correct-by-design Safety Critics using Non-contractive Binary Bellman Operators A Castellano, H Min, JA Bazerque, E Mallada | | |
Enrique MalladaAssociate Professor, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
