Jaivardhan Kapoor

13 papers A* 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unsupervised anomaly detection in medical imaging using aggregated normative diffusion.
Medical Image Anal.
Alexander Frötscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner
2025 J jnl
EDAPT: Towards Calibration-Free BCIs with Continual Online Adaptation.
CoRR
Lisa Haxel, Jaivardhan Kapoor, Ulf Ziemann, Jakob H. Macke
2025 J jnl
MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space.
CoRR
Jaivardhan Kapoor, Jakob H. Macke, Christian F. Baumgartner
2025 J jnl
Personalized real-time inference of momentary excitability from human EEG.
NeuroImage
Lisa Haxel, Oskari Ahola, Jaivardhan Kapoor, Ulf Ziemann, Jakob H. Macke
2025 J jnl
sbi reloaded: a toolkit for simulation-based inference workflows.
J. Open Source Softw.
Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke
2024 J jnl
A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science.
Trans. Mach. Learn. Res.
Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Glöckler, Lisa Haxel, Jaivardhan Kapoor, Janne K. Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sagtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter
2024 J jnl
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science.
CoRR
Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Glöckler, Lisa Haxel, Jaivardhan Kapoor, Janne K. Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sagtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter
2024 A* conf
Latent Diffusion for Neural Spiking Data.
NeurIPS
Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke
2024 J jnl
Latent Diffusion for Neural Spiking Data.
CoRR
Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke
2024 J jnl
sbi reloaded: a toolkit for simulation-based inference workflows.
CoRR
Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke
2023 J jnl
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis.
CoRR
Jaivardhan Kapoor, Jakob H. Macke, Christian F. Baumgartner
2023 J jnl
Unsupervised Anomaly Detection using Aggregated Normative Diffusion.
CoRR
Alexander Frötscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner
2017 J jnl
Variational Inference via Transformations on Distributions.
CoRR
Siddhartha Saxena, Shibhansh Dohare, Jaivardhan Kapoor