Arrival and Coffee
Mon, 8:30 - 9:00
Session 1: Architectures and Optimization
Opening and Introduction
Mon, 9:00 - 9:10
DeepQMC: an open-source software suite for variational optimization of deep-learning molecular wave functions
Peter Bernat and Zeno Schätzle, FU Berlin
Mon, 09:10 - 09:55
Coffee break
Mon, 10:40 - 11:00
Message-Passing Neural Quantum States for the Homogeneous Electron Gas
Gabriel Pescia, École Polytechnique Fédérale de Lausanne
Mon, 11:00 - 11:45
Towards the ground state of molecules via diffusion Monte Carlo on neural networks
Weizhong Fu, Peking University
Mon, 11:45 - 12:30
Session 2: Multi-geometry wavefunctions
Ab-Initio Potential Energy Surfaces via Graph Neural Networks
Stephan Günnemann, TU Munich
Mon, 14:00 - 14:45
Towards a Foundation Model for Neural Wavefunctions
Michael Scherbela, University of Vienna
Mon, 14:45 - 15:30
Coffee break
Mon, 15:30 - 15:45
Variational Annealing on Graphs for Combinatorial Optimization
Sebastian Sanokowski, University of Linz
Mon, 15:45 - 16:30
Poster Session
Informal poster session and time for discussions
Mon, 16:30 - 18:00
Conference Dinner
TBD
Mon, 19:00
Arrival and Coffee
Tue, 8:30 - 9:00
Session 3: Applications and Periodic Systems
Extending neural network quantum Monte Carlo towards condensed matter physics problems
Ji Chen, Peking University
Tue, 09:00 - 09:45
Coffee break
Tue, 10:30 - 11:00
Neural-network quantum states for ultra-cold Fermi gases + NetKet
Jannes Nys, École Polytechnique Fédérale de Lausanne
Tue, 11:00 - 11:45
A Self-Attention Ansatz for Ab-initio Quantum Chemistry