3 papers
cs.LG2025
Efficiently Generating Multidimensional Calorimeter Data with Tensor Decomposition Parameterization
Paimon Goulart, Shaan Pakala, Evangelos Papalexakis
Producing large complex simulation datasets can often be a time and resource consuming task. Especially when these experiments are very expensive, it is becoming more reasonable to…
cs.LG2025
Tensor Completion for Surrogate Modeling of Material Property Prediction
Shaan Pakala, Dawon Ahn, Evangelos Papalexakis
When designing materials to optimize certain properties, there are often many possible configurations of designs that need to be explored. For example, the materials' composition o…
cs.LG2024
Automating Data Science Pipelines with Tensor Completion
Shaan Pakala, Bryce Graw, Dawon Ahn +5
Hyperparameter optimization is an essential component in many data science pipelines and typically entails exhaustive time and resource-consuming computations in order to explore t…