Charlotte Loh

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 15

Top Topics

Supervised Learning

Rotational Symmetry

Labeled Examples

Top Venues

Trans. Mach. Learn. Res.

Publications

Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. CoRR (2024)
Owen Dugan, Donato Manuel Jimenez Beneto, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljacic
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step. CoRR (2024)
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR (2023)
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. ICML (2023)
Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam M. Nguyen, Lily Weng
Analyzing Generalization of Neural Networks through Loss Path Kernels. NeurIPS (2023)
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging. Trans. Mach. Learn. Res. 2023 (2023)
Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Chen, Peter Y. Lu, Thomas Christensen, Marin Soljacic
Multimodal Learning for Crystalline Materials. CoRR (2023)
Ankit Vishnubhotla, Charlotte Loh, Akash Srivastava, Liam Paninski, Cole L. Hurwitz
Towards robust and generalizable representations of extracellular data using contrastive learning. NeurIPS (2023)
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. CoRR (2023)
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. ICLR (2022)
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
On the Importance of Calibration in Semi-supervised Learning. CoRR (2022)
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure. Trans. Mach. Learn. Res. 2022 (2022)
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
Equivariant Contrastive Learning. CoRR (2021)
Charlotte Loh, Thomas Christensen, Rumen Dangovski, Samuel Kim, Marin Soljacic
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science. CoRR (2021)
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic
Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems. CoRR (2021)
Laszlo Papp, Norbert Zsoter, Charlotte Loh, Baeumer Ole, Bernhard Egeler, Ildiko Garai, Ulf Luetzen
Automated lymph node detection and classification on breast and prostate cancer SPECT-CT images. EMBC (2011)