Noel Loo

According to our database, Noel Loo authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences.

Neehal Tumma, Noel Loo, Daniela Rus

CoRR, April, 2026

2025

LFM2 Technical Report.

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

CoRR, November, 2025

2024

Linear Projections of Teacher Embeddings for Few-Class Distillation.

Noel Loo, Fotis Iliopoulos, Wei Hu, Erik Vee

CoRR, 2024

Large Scale Dataset Distillation with Domain Shift.

Noel Loo, Alaa Maalouf, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control.

Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation.

Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Size and Approximation Error of Distilled Sets.

Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus

CoRR, 2023

Dataset Distillation Fixes Dataset Reconstruction Attacks.

Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus

CoRR, 2023

On the Size and Approximation Error of Distilled Datasets.

Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dataset Distillation with Convexified Implicit Gradients.

Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus

Proceedings of the International Conference on Machine Learning, 2023

2022

Efficient Dataset Distillation using Random Feature Approximation.

Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolution of Neural Tangent Kernels under Benign and Adversarial Training.

Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Generalized Variational Continual Learning.

Noel Loo, Siddharth Swaroop, Richard E. Turner

Proceedings of the 9th International Conference on Learning Representations, 2021