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9 papers · 2 filters
Preliminary Use of Vision Language Model Driven Extraction of Mouse Behavior Towards Understanding Fear Expression
Paimon Goulart, Jordan Steinhauser, Kylene Shuler +3
Integration of diverse data will be a pivotal step towards improving scientific explorations in many disciplines. This work establishes a vision-language model (VLM) that encodes v…
Surrogate Modeling for the Design of Optimal Lattice Structures using Tensor Completion
Shaan Pakala, Aldair E. Gongora, Brian Giera +1
When designing new materials, it is often necessary to design a material with specific desired properties. Unfortunately, as new design variables are added, the search space grows…
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…
Multi-view Graph Condensation via Tensor Decomposition
Nícolas Roque dos Santos, Dawon Ahn, Diego Minatel +2
Graph Neural Networks (GNNs) have demonstrated remarkable results in various real-world applications, including drug discovery, object detection, social media analysis, recommender…
Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation
Dawon Ahn, Jun-Gi Jang, Evangelos E. Papalexakis
Group fairness is important to consider in tensor decomposition to prevent discrimination based on social grounds such as gender or age. Although few works have studied group fairn…
Global and Local Structure Learning for Sparse Tensor Completion
Dawon Ahn, Evangelos E. Papalexakis
How can we accurately complete tensors by learning relationships of dimensions along each mode? Tensor completion, a widely studied problem, is to predict missing entries in incomp…