Paul Häusner
Doktorand vid Institutionen för informationsteknologi; Systemteknik
- Telefon:
- 018-471 31 50
- E-post:
- paul.hausner@it.uu.se
- Besöksadress:
- Hus 10, Regementsvägen 10
- Postadress:
- Box 337
751 05 UPPSALA
- ORCID:
- 0000-0002-7503-6599
Publikationer
Senaste publikationer
-
Ingår i Advanced Theory and Simulations, 2025
- DOI för The Frequency-Domain Lattice Boltzmann Method (FreqD-LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples
- Ladda ner fulltext (pdf) av The Frequency-Domain Lattice Boltzmann Method (FreqD-LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples
-
Learning incomplete factorization preconditioners for GMRES
Ingår i NORTHERN LIGHTS DEEP LEARNING CONFERENCE, 2025
-
Neural incomplete factorization: learning preconditioners for the conjugate gradient method
Ingår i Transactions on Machine Learning Research, 2024
Alla publikationer
Artiklar i tidskrift
-
Ingår i Advanced Theory and Simulations, 2025
- DOI för The Frequency-Domain Lattice Boltzmann Method (FreqD-LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples
- Ladda ner fulltext (pdf) av The Frequency-Domain Lattice Boltzmann Method (FreqD-LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples
-
Neural incomplete factorization: learning preconditioners for the conjugate gradient method
Ingår i Transactions on Machine Learning Research, 2024
Konferensbidrag
-
Learning incomplete factorization preconditioners for GMRES
Ingår i NORTHERN LIGHTS DEEP LEARNING CONFERENCE, 2025