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2020 – today
- 2024
[c8]Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus:
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation. ICLR 2024- [c7]Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus:
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. ICLR 2024 - [c6]Noel Loo, Alaa Maalouf, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus:
Large Scale Dataset Distillation with Domain Shift. ICML 2024 - [i8]Noel Loo, Fotis Iliopoulos, Wei Hu, Erik Vee:
Linear Projections of Teacher Embeddings for Few-Class Distillation. CoRR abs/2409.20449 (2024) - 2023
- [c5]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation with Convexified Implicit Gradients. ICML 2023: 22649-22674 - [c4]Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
On the Size and Approximation Error of Distilled Datasets. NeurIPS 2023 - [i7]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation Fixes Dataset Reconstruction Attacks. CoRR abs/2302.01428 (2023) - [i6]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation with Convexified Implicit Gradients. CoRR abs/2302.06755 (2023) - [i5]Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
On the Size and Approximation Error of Distilled Sets. CoRR abs/2305.14113 (2023) - [i4]Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus:
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. CoRR abs/2310.03915 (2023) - 2022
- [c3]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Evolution of Neural Tangent Kernels under Benign and Adversarial Training. NeurIPS 2022 - [c2]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Efficient Dataset Distillation using Random Feature Approximation. NeurIPS 2022 - [i3]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Evolution of Neural Tangent Kernels under Benign and Adversarial Training. CoRR abs/2210.12030 (2022) - [i2]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Efficient Dataset Distillation Using Random Feature Approximation. CoRR abs/2210.12067 (2022) - 2021
- [c1]Noel Loo, Siddharth Swaroop, Richard E. Turner:
Generalized Variational Continual Learning. ICLR 2021 - 2020
- [i1]Noel Loo, Siddharth Swaroop, Richard E. Turner:
Generalized Variational Continual Learning. CoRR abs/2011.12328 (2020)
Coauthor Index
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