Markus Peschl

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Active Learning

Artificially Intelligent

Multiple Objectives

Human Intelligence

Top Venues

Publications

Sahil Manchanda, Dana Kianfar, Markus Peschl, Romain Lepert, Michaël Defferrard
NeuroSteiner: A Graph Transformer for Wirelength Estimation. CoRR (2024)
Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer
Probabilistic and Differentiable Wireless Simulation with Geometric Transformers. CoRR (2024)
David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
Robust Scheduling with GFlowNets. CoRR (2023)
David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
Robust Scheduling with GFlowNets. ICLR (2023)
Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. CoRR (2022)
Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. AAMAS (2022)
Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan
Learning Perturbations for Soft-Output Linear MIMO Demappers. CoRR (2022)
Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan
Learning Perturbations for Soft-Output Linear MIMO Demappers. GLOBECOM (2022)
Markus Peschl
Training for Implicit Norms in Deep Reinforcement Learning Agents through Adversarial Multi-Objective Reward Optimization. AIES (2021)