Variational Inference via Transformations on Distributions. - Siddhartha Saxena; Shibhansh Dohare; Jaivardhan Kapoor (CoRR, 2017)

Multiscale Metamorphic VAE for 3D Brain MRI Synthesis. - Jaivardhan Kapoor; Jakob H. Macke; Christian F. Baumgartner (CoRR, 2023)

Unsupervised Anomaly Detection using Aggregated Normative Diffusion. - Alexander Frötscher; Jaivardhan Kapoor; Thomas Wolfers; Christian F. Baumgartner (CoRR, 2023)

Latent Diffusion for Neural Spiking Data. - Jaivardhan Kapoor; Auguste Schulz; Julius Vetter; Felix Pei; Richard Gao; Jakob H. Macke (NeurIPS, 2024)

A Practical Guide to Statistical Distances for Evaluating Generative Models in Science. - Sebastian Bischoff 001; Alana Darcher; Michael Deistler; Richard Gao; Franziska Gerken; Manuel Glöckler; Lisa Haxel; Jaivardhan Kapoor; Janne K. Lappalainen; Jakob H. Macke; Guy Moss 001; Matthijs Pals; et al. (CoRR, 2024)

A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science. - Sebastian Bischoff 001; Alana Darcher; Michael Deistler; Richard Gao; Franziska Gerken; Manuel Glöckler; Lisa Haxel; Jaivardhan Kapoor; Janne K. Lappalainen; Jakob H. Macke; Guy Moss 001; Matthijs Pals; et al. (Trans. Mach. Learn. Res., 2024)

sbi reloaded: a toolkit for simulation-based inference workflows. - Jan Boelts; Michael Deistler; Manuel Glöckler; Álvaro Tejero-Cantero; Jan-Matthis Lueckmann; Guy Moss 001; Peter Steinbach; Thomas Moreau 001; Fabio Muratore; Julia Linhart; Conor Durkan; Julius Vetter; et al. (J. Open Source Softw., 2025)

EDAPT: Towards Calibration-Free BCIs with Continual Online Adaptation. - Lisa Haxel; Jaivardhan Kapoor; Ulf Ziemann; Jakob H. Macke (CoRR, 2025)