5 citations · 7 across the 4 of their papers we have counts for
4 papers
Learning to Represent Individual Differences for Choice Decision Making
Yan-Ying Chen, Yue Weng, Alexandre Filipowicz +7
Human decision making can be challenging to predict because decisions are affected by a number of complex factors. Adding to this complexity, decision-making processes can differ c…
ConjointNet: Enhancing Conjoint Analysis for Preference Prediction with Representation Learning
Yanxia Zhang, Francine Chen, Shabnam Hakimi +9
Understanding consumer preferences is essential to product design and predicting market response to these new products. Choice-based conjoint analysis is widely used to model user…
Visual Elements and Cognitive Biases Influence Interpretations of Trends in Scatter Plots
Alexandre Filipowicz, Scott Carter, Nayeli Bravo +6
Visualizations are common methods to convey information but also increasingly used to spread misinformation. It is therefore important to understand the factors people use to inter…
Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression
Nikos Arechiga, Francine Chen, Yan-Ying Chen +4
We consider the problem of learning free-form symbolic expressions from raw data, such as that produced by an experiment in any scientific domain. Accurate and interpretable models…