supersymmetry
PulseAugur coverage of supersymmetry — every cluster mentioning supersymmetry across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Self-supervised learning enhances resonance mass regression in physics
Researchers have developed a self-supervised learning approach using a Transformer encoder pre-trained with VICReg to improve resonance mass regression in high energy physics. This method aims to overcome the limitation…
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New framework boosts TabPFN inference for large tabular datasets
Researchers have developed a new framework called Balanced Adaptive Prototype Selection (BAPS) to improve the scalability of Pretrained Tabular Foundation Models (TabPFN) for large datasets. BAPS constructs compressed, …
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Mixed-Precision CA-SGD Accelerates Training on GPUs
Researchers have developed a mixed-precision communication-avoiding SGD (CA-SGD) method for generalized linear models on GPUs. This approach aims to reduce communication bottlenecks in distributed training by amortizing…