Conveners
Overview: Machine Learning Topics in A3D3
- Javier Mauricio Duarte (Univ. of California San Diego (US))
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Javier Mauricio Duarte (Univ. of California San Diego (US))16/08/2025, 08:45
Throughout different scientific disciplines, there is a need for machine learning models that leverage domain knowledge through inductive bias and data representations to maximize their potential. In addition, efficient machine learning implementations optimized for inference in hardware are critical for low-latency, high-throughput, or limited-resource scientific applications. In this...
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Javier Mauricio Duarte (Univ. of California San Diego (US))
Throughout different scientific disciplines, there is a need for machine learning models that leverage domain knowledge through inductive bias and data representations to maximize their potential. In addition, efficient machine learning implementations optimized for inference in hardware are critical for low-latency, high-throughput, or limited-resource scientific applications. In this...
Go to contribution page