Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

43 Results

<<   <   Page 2 of 4   >   >>
Workshop
Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems
Félix Chavelli · Zi-Yu Khoo · Dawen Wu · Jonathan Low · Stéphane Bressan
Workshop
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
Miro Miranda · Marcela Charfuelan · Andreas Dengel
Workshop
Exact and approximate error bounds for physics-informed neural networks
Augusto Chantada · Pavlos Protopapas · Luca Gomez Bachar · Susana Landau · Claudia Scóccola
Workshop
Hamiltonian Matching for Symplectic Neural Integrators
Priscilla Canizares · Davide Murari · Carola-Bibiane Schönlieb · Ferdia Sherry · Zakhar Shumaylov
Workshop
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition
Milad Ramezankhani · Rishi Parekh · Anirudh Deodhar · Dagnachew Birru
Poster
Thu 11:00 RoPINN: Region Optimized Physics-Informed Neural Networks
Haixu Wu · Huakun Luo · Yuezhou Ma · Jianmin Wang · Mingsheng Long
Poster
Fri 11:00 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Hao Zhongkai · Jiachen Yao · Chang Su · Hang Su · Ziao Wang · Fanzhi Lu · Zeyu Xia · Yichi Zhang · Songming Liu · Lu Lu · Jun Zhu
Workshop
PINNfluence: Influence Functions for Physics-Informed Neural Networks
Jonas Naujoks · Aleksander Krasowski · Moritz Weckbecker · Thomas Wiegand · Sebastian Lapuschkin · Wojciech Samek · René P. Klausen
Workshop
Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
Poster
Thu 16:30 Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
Felix Dangel · Johannes Müller · Marius Zeinhofer
Workshop
History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)
Jassem Abbasi · Ben Moseley · Takeshi Kurotori · Ameya Jagtap · Anthony Kovscek · Aksel Hiorth · Pål Andersen
Workshop
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators
Chuwei Wang · Julius Berner · Zongyi Li · Di Zhou · Jiayun (Peter) Wang · H. Jane Bae · Animashree Anandkumar