Noel Loo

8 papers · 2021–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird

Venues

ICLR (3) NeurIPS (3) ICML (2)

Top co-authors

Daniela Rus (7) Ramin Hasani (7) Mathias Lechner (5) Alexander Amini (4) Alaa Maalouf (2) Richard E Turner (1) Siddharth Swaroop (1) Murad Tukan (1) Neehal Tumma (1)

Research topics

Machine Learning (7) Deep Learning (6) Application Areas (5) Optimization & Theory · Machine Learning (5) Artificial Intelligence (3) Core AI (3) Models (3) Optimization & Theory · Deep Learning (3) Learning Types (2) Architectures (1) Core Methods (1) Learning Paradigms (1)

Keywords

dataset distillation (5) neural tangent kernel (4) kernel ridge regression (2) adversarial robustness (1) variational inference (1) convex optimization (1) knowledge distillation (1) adversarial training (1) random feature approximation (1) kernel learning (1) excess risk (1) approximation error (1) bilevel optimization (1) recurrent neural network (1) robust control (1) domain shift (1) random fourier feature (1) infinite width (1) synthetic sample (1) privacy breach (1)

Papers

Large Scale Dataset Distillation with Domain Shift ICML 2024 Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control ICLR 2024 Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation ICLR 2024 Dataset Distillation with Convexified Implicit Gradients ICML 2023 On the Size and Approximation Error of Distilled Datasets NeurIPS 2023 Efficient Dataset Distillation using Random Feature Approximation NeurIPS 2022 Evolution of Neural Tangent Kernels under Benign and Adversarial Training NeurIPS 2022 Generalized Variational Continual Learning ICLR 2021