Loo, Noel

10 publications

ICML 2024 Large Scale Dataset Distillation with Domain Shift Noel Loo, Alaa Maalouf, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

ICLR 2024 Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus

ICLR 2024 Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation Noel Loo, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

ICML 2023 Dataset Distillation with Convexified Implicit Gradients Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus

NeurIPSW 2023 Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus

NeurIPS 2023 On the Size and Approximation Error of Distilled Datasets Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus

NeurIPS 2022 Efficient Dataset Distillation Using Random Feature Approximation Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus

NeurIPS 2022 Evolution of Neural Tangent Kernels Under Benign and Adversarial Training Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus

ICLR 2021 Generalized Variational Continual Learning Noel Loo, Siddharth Swaroop, Richard E Turner

ICMLW 2020 Combining Variational Continual Learning with FiLM Layers Noel Loo, Siddharth Swaroop, Richard E Turner