Charlotte Loh

19 papers A* 6Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active learning for photonics.
CoRR
Ryan Lopez, Charlotte Loh, Rumen Dangovski, Marin Soljacic
2024 A* conf
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step.
NeurIPS
Owen Dugan, Donato Jiménez-Benetó, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljacic
2024 J jnl
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step.
CoRR
Owen Dugan, Donato Manuel Jimenez Beneto, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljacic
2024 A* conf
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation.
NeurIPS
Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic
2024 J jnl
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation.
CoRR
Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic
2023 A* conf
Analyzing Generalization of Neural Networks through Loss Path Kernels.
NeurIPS
Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam M. Nguyen, Lily Weng
2023 J jnl
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies.
CoRR
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
2023 J jnl
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging.
Trans. Mach. Learn. Res.
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2023 A* conf
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries.
ICML
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
2023 J jnl
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries.
CoRR
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
2023 J jnl
Multimodal Learning for Crystalline Materials.
CoRR
Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Chen, Peter Y. Lu, Thomas Christensen, Marin Soljacic
2023 A* conf
Towards robust and generalizable representations of extracellular data using contrastive learning.
NeurIPS
Ankit Vishnubhotla, Charlotte Loh, Akash Srivastava, Liam Paninski, Cole L. Hurwitz
2022 J jnl
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure.
Trans. Mach. Learn. Res.
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic
2022 A* conf
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations.
ICLR
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2022 J jnl
On the Importance of Calibration in Semi-supervised Learning.
CoRR
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
2021 J jnl
Equivariant Contrastive Learning.
CoRR
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2021 J jnl
Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems.
CoRR
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic
2021 J jnl
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science.
CoRR
Charlotte Loh, Thomas Christensen, Rumen Dangovski, Samuel Kim, Marin Soljacic
2011 — conf
Automated lymph node detection and classification on breast and prostate cancer SPECT-CT images.
EMBC
Laszlo Papp, Norbert Zsoter, Charlotte Loh, Baeumer Ole, Bernhard Egeler, Ildikó Garai, Ulf Luetzen