Johann Brehmer
Johann Brehmer
Researcher, CuspAI
Joined
July 2019
Names
Emails
****@nyu.edu (Confirmed)
****@qti.qualcomm.com (Confirmed)
****@johannbrehmer.de (Confirmed)
****@gmail.com (Confirmed)
****@cusp.ai (Confirmed)
Personal Links
Career & Education History
Researcher
CuspAI (cusp.ai)
2024 – Present
Researcher
Qualcomm AI Research (qualcomm.com)
2021 – 2024
Postdoc
New York University (nyu.edu)
2017 – 2020
PhD student
Heidelberg University (uni-heidelberg.de)
2014 – 2017
Advisors, Relations & Conflicts
Expertise
likelihood-free inference
, simulation-based inference
, approximate bayesian computation
Present
causality
, causal deep learning
, causal representation learning
, disentangled representation learning
Present
geometric deep learning
, equivariance
Present
generative models
, diffusion models
, flow matching
, normalizing flows
, variational autoencoders
Present
Publications
Co-Authors
- Arash Behboodi
- Auke J. Wiggers
- Daniel Dijkman
- Duccio Pappadopulo
- Ekdeep Singh Lubana
- Gilles Louppe
- Hanno Ackermann
- Jesse Thaler
- Joey Bose
- Jonas Spinner
- Juan Pavez
- Kyle Cranmer
- Markus Nagel
- Markus Peschl
- Markus Stoye
- Phillip Lippe
- Pim De Haan
- Pim de Haan
- Reza Pourreza
- Risto Vuorio
- Sebastian Macaluso
- Sönke Behrends
- Taco Cohen
- Thomas Hehn
- Ties van Rozendaal