Tobias Rohner

PhD student, ETHZ - ETH Zurich

Joined

February 2023

Names

Tobias Rohner (Preferred)

Emails

****@math.ethz.ch (Confirmed)

Personal Links

DBLP

Career & Education History

PhD student

ETHZ - ETH Zurich (ethz.ch)

2022 – 2026

MS student

ETHZ - ETH Zurich (ethz.ch)

2019 – 2021

Undergrad student

ETHZ - ETH Zurich (ethz.ch)

2016 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Siddhartha Mishra

2022 – 2026

Coworker

Bogdan Raonic

2022 – 2026

Coworker

Tim de Ryck

2022 – 2026

Coworker

Roberto Molinaro

2022 – 2024

Coworker

Emmanuel de Bezenac

2022 – 2024

Coauthor

Rima Alaifari

2022 – 2023

Coauthor

Francesca Bartolucci

2021 – 2023

Coauthor

Torsten Hoefler

2020 – 2021

Coauthor

Niels Gleinig

2020 – 2021

Expertise

No areas of expertise listed

Publications

Poseidon: Efficient Foundation Models for PDEs
Maximilian Herde, Bogdan Raonic, Tobias Rohner, Roger Käppeli, Roberto Molinaro, Emmanuel de Bezenac, Siddhartha Mishra
- NeurIPS 2024 poster
- Readers: Everyone
Convolutional Neural Operators for robust and accurate learning of PDEs
Bogdan Raonic, Roberto Molinaro, Tim De Ryck, Tobias Rohner, Francesca Bartolucci, Rima Alaifari, Siddhartha Mishra, Emmanuel de Bezenac
- NeurIPS 2023 poster
- Readers: Everyone
Convolutional Neural Operators
Bogdan Raonic, Roberto Molinaro, Tobias Rohner, Siddhartha Mishra, Emmanuel de Bézenac
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone
Approximate Reversible Circuits for NISQ-Era Quantum Computers
Niels Gleinig, Tobias Rohner, Torsten Hoefler
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone

Tobias Rohner

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Poseidon: Efficient Foundation Models for PDEs

Convolutional Neural Operators for robust and accurate learning of PDEs

Convolutional Neural Operators

Approximate Reversible Circuits for NISQ-Era Quantum Computers

Co-Authors