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Found 4 papers, 1 papers with code
A new look at calendar anomalies: Multifractality and day of the week effect
From the time-dependent multifractal analysis we find that multifractal spectra for Monday returns are much wider than for other days during periods of financial crises.
Distance Metric Learning through Minimization of the Free Energy
In this work we present a simple approach based on concepts from statistical physics to learn optimal distance metric for a given problem.
Search Spaces for Neural Model Training
While larger neural models are pushing the boundaries of what deep learning can do, often more weights are needed to train models rather than to run inference for tasks.
Accelerating Sparse Deep Neural Networks
We present the design and behavior of Sparse Tensor Cores, which exploit a 2:4 (50%) sparsity pattern that leads to twice the math throughput of dense matrix units.
