Prati
Markus Peschl
Markus Peschl
Qualcomm AI Research
Potvrđena adresa e-pošte na qti.qualcomm.com - Početna stranica
Naslov
Citirano
Citirano
Godina
Robust scheduling with GFlowNets
DW Zhang, C Rainone, M Peschl, R Bondesan
ICLR 2023 - International Conference on Learning Representations, 2023
532023
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning
M Peschl, A Zgonnikov, FA Oliehoek, LC Siebert
AAMAS '22: Proceedings of the 21st International Conference on Autonomous …, 2022
422022
Training for implicit norms in deep reinforcement learning agents through adversarial multi-objective reward optimization
M Peschl
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 275-276, 2021
62021
Learning perturbations for soft-output linear mimo demappers
DE Worrall, M Peschl, A Behboodi, R Bondesan
GLOBECOM 2022-2022 IEEE Global Communications Conference, 5213-5218, 2022
22022
Lattice reduction-aided perturbed additive demapper for multiple-input multiple-output signal detection
M Peschl, DE Worrall, A Behboodi, R Bondesan, P Sadeghi, S Barghi
US Patent 12,199,705, 2025
2025
NeuroSteiner: A Graph Transformer for Wirelength Estimation
S Manchanda, D Kianfar, M Peschl, R Lepert, M Defferrard
4th Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), 2024
2024
Differentiable and Learnable Wireless Simulation with Geometric Transformers
T Hehn, M Peschl, T Orekondy, A Behboodi, J Brehmer
ICLR 2025 - International Conference on Learning Representations, 2024
2024
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