Search Results for author:
Found 6 papers, 4 papers with code
Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation
We propose einops notation: a uniform and generic way to manipulate tensor structure, that significantly improves code readability and flexibility by focusing on structure of input and output tensors.
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
Absolute or relative positional embeddings are the most popular ways to feed Transformer models with positional information.
InfiniteBoost: building infinite ensembles with gradient descent
In machine learning ensemble methods have demonstrated high accuracy for the variety of problems in different areas.
Inclusive Flavour Tagging Algorithm
The proposed inclusive flavour-tagging algorithm is applicable to tag the flavour of $B$ mesons in any proton-proton experiment.
Reproducible Experiment Platform
Data analysis in fundamental sciences nowadays is an essential process that pushes frontiers of our knowledge and leads to new discoveries.
Data Analysis, Statistics and Probability
New approaches for boosting to uniformity
The use of multivariate classifiers has become commonplace in particle physics.
High Energy Physics - Experiment
