activity
20082020
most citedScalable Population Synthesis with Deep Generative Modeling

102 citations · 336 across the 17 of their papers we have counts for

collaborators

17 papers

stat.ME2020

Estimating Causal Effects with the Neural Autoregressive Density Estimator

Sergio Garrido, Stanislav S. Borysov, Jeppe Rich +1

Estimation of causal effects is fundamental in situations were the underlying system will be subject to active interventions. Part of building a causal inference engine is defining…

stat.ML2019

Prediction of rare feature combinations in population synthesis: Application of deep generative modelling

Sergio Garrido, Stanislav S. Borysov, Francisco C. Pereira +1

In population synthesis applications, when considering populations with many attributes, a fundamental problem is the estimation of rare combinations of feature attributes. Unsurpr…

stat.ML2019★ 14 cited

Introducing Super Pseudo Panels: Application to Transport Preference Dynamics

Stanislav S. Borysov, Jeppe Rich

We propose a new approach for constructing synthetic pseudo-panel data from cross-sectional data. The pseudo panel and the preferences it intends to describe is constructed at the…

stat.ML2018★ 52 cited

A Bayesian Additive Model for Understanding Public Transport Usage in Special Events

Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro +1

Public special events, like sports games, concerts and festivals are well known to create disruptions in transportation systems, often catching the operators by surprise. Although…

stat.ML2018★ 102 cited

Scalable Population Synthesis with Deep Generative Modeling

Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira

Population synthesis is concerned with the generation of synthetic yet realistic representations of populations. It is a fundamental problem in the modeling of transport where the…

cond-mat.supr-con2017★ 27 cited

Towards Novel Organic High- Superconductors: Data Mining using Density of States Similarity Search

R. Matthias Geilhufe, Stanislav S. Borysov, Dmytro Kalpakchi +1

Identifying novel functional materials with desired key properties is an important part of bridging the gap between fundamental research and technological advancement. In this cont…