Lawrence, Hannah
- Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
2023/07/17 by Xuan Zhang, Limei Wang, Zhang, Xuan +123 · 1 voice · 17 citations
#cs.LG #physics.comp-ph
- Distilling Model Failures as Directions in Latent Space
2022/06/29 by Saachi Jain, Jain, Saachi, Hannah R. Lawrence +5 · 6 citations
Computer Science · #Multimodal Machine Learning Applications #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning
- Equivariant Frames and the Impossibility of Continuous Canonicalization
2024/02/25 by Nadav Dym, Hannah Lawrence, Dym, Nadav +3 · 5 citations
Engineering · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
- GULP: a prediction-based metric between representations
2022/10/12 by Enric Boix-Adsera, Hannah Lawrence, Boix-Adsera, Enric +5 · 1 voice · 2 citations
#cs.LG
- Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
2023/07/11 by Grégoire Mialon, Mialon, Grégoire, Quentin Garrido +9 · 2 citations
Engineering · #Advanced Data Processing Techniques
- Toeplitz Low-Rank Approximation with Sublinear Query Complexity
2022/11/21 by Michael Kapralov, Kapralov, Michael, Hannah Lawrence +7 · 1 citation
Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications #Stochastic Gradient Optimization Techniques
- Improving Equivariant Networks with Probabilistic Symmetry Breaking
2025/03/27 by Lawrence, Hannah, Portilheiro, Vasco, Zhang, Yan +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On the hardness of learning under symmetries
2024/01/03 by Kiani, Bobak T., Le, Thien, Lawrence, Hannah +2 · 1 citation
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)