Jens Oppliger

According to our database, Jens Oppliger authored at least 3 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Autonomous Diffractometry Enabled by Visual Reinforcement Learning.

Jens Oppliger, M. Stifter, A. Rüegg, Izabela Bialo, Leonardo Martinelli, P. G. Freeman, D. Prabhakaran, J. Zhao, Q. Wang, J. Chang

CoRR, April, 2026

2024

Weak signal extraction enabled by deep neural network denoising of diffraction data.

Jens Oppliger, Michael M. Denner, Julia Küspert, Ruggero Frison, Qisi Wang, Alexander Morawietz, Oleh Ivashko, Ann-Christin Dippel, Martin von Zimmermann, Izabela Bialo, Leonardo Martinelli, Benoît Fauqué, Jaewon Choi, Mirian Garcia-Fernandez, Ke-Jin Zhou, Niels Bech Christensen, Tohru Kurosawa, Naoki Momono, Migaku Oda, Fabian D. Natterer, Mark H. Fischer, Titus Neupert, Johan Chang

Nat. Mac. Intell., 2024

2022

Weak-signal extraction enabled by deep-neural-network denoising of diffraction data.

Jens Oppliger, Michael M. Denner, Julia Küspert, Ruggero Frison, Qisi Wang, Alexander Morawietz, Oleh Ivashko, Ann-Christin Dippel, Martin von Zimmermann, Niels B. Christensen, Tohru Kurosawa, Naoki Momono, Migaku Oda, Fabian D. Natterer, Mark H. Fischer, Titus Neupert, Johan Chang

CoRR, 2022