Noel Loo

17 papers A* 8Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
LFM2 Technical Report.
CoRR
Alexander Amini, Anna Banaszak, Harold Benoit, Arthur Böök, Tarek Dakhran, Song Duong, Alfred Eng, Fernando Fernandes, Marc Härkönen, Anne Harrington, Ramin M. Hasani, Saniya Karwa, Yuri Khrustalev, Maxime Labonne, Mathias Lechner, Valentine Lechner, Simon Lee, Zetian Li, Noel Loo, Jacob Marks, Edoardo Mosca, Samuel J. Paech, Paul Pak, Rom N. Parnichkun, Alex Quach, Ryan Rogers, Daniela Rus, Nayan Saxena, Bettina Schlager, Tim Seyde, Jimmy T. H. Smith, Aditya Tadimeti, Neehal Tumma
2024 A* conf
Large Scale Dataset Distillation with Domain Shift.
ICML
Noel Loo, Alaa Maalouf, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
2024 A* conf
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control.
ICLR
Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus
2024 J jnl
Linear Projections of Teacher Embeddings for Few-Class Distillation.
CoRR
Noel Loo, Fotis Iliopoulos, Wei Hu, Erik Vee
2024 A* conf
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation.
ICLR
Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
2023 J jnl
Dataset Distillation Fixes Dataset Reconstruction Attacks.
CoRR
Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023 A* conf
Dataset Distillation with Convexified Implicit Gradients.
ICML
Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023 J jnl
Dataset Distillation with Convexified Implicit Gradients.
CoRR
Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023 J jnl
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control.
CoRR
Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus
2023 A* conf
On the Size and Approximation Error of Distilled Datasets.
NeurIPS
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023 J jnl
On the Size and Approximation Error of Distilled Sets.
CoRR
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2022 J jnl
Efficient Dataset Distillation Using Random Feature Approximation.
CoRR
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
2022 A* conf
Efficient Dataset Distillation using Random Feature Approximation.
NeurIPS
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
2022 A* conf
Evolution of Neural Tangent Kernels under Benign and Adversarial Training.
NeurIPS
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
2022 J jnl
Evolution of Neural Tangent Kernels under Benign and Adversarial Training.
CoRR
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
2021 A* conf
Generalized Variational Continual Learning.
ICLR
Noel Loo, Siddharth Swaroop, Richard E. Turner
2020 J jnl
Generalized Variational Continual Learning.
CoRR
Noel Loo, Siddharth Swaroop, Richard E. Turner