Data-Efficient Neural Operator Training via Physics-Based Active Learning
Workshop on Artificial Intelligence and Partial Differential Equations at the 14th International Conference on Learning Representations (ICLR)
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Publications
You can also find my articles on my Google Scholar profile.
A comprehensive evaluation of diversity measures for TCR repertoire profiling
BMC Biology, Vol. 23, 133
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Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison
arxiv
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Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
Machine Learning and the Physical Sciences Workshop, NeurIPS 2024
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Peripheral blood immune parameters, response, and adverse events after neoadjuvant chemotherapy plus durvalumab in early-stage triple-negative breast cancer
Breast Cancer Research and Treatment
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The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
Open Journal of Astrophysics, Vol. 7, 2024 IST
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Learned harmonic mean estimation of the Bayesian evidence with normalizing flows
The Open Journal of Astrophysics, Vol. 8.
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Differentiable and accelerated wavelet transforms on the sphere and ball
Submitted to the Open Journal of Astrophysics
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Learned harmonic mean estimation of the marginal likelihood with normalizing flows
Presented at the 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany, 3–7 July 2023
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Solitary states in adaptive nonlocal oscillator networks
The European Physical Journal Special Topics
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