← Authors

Nils Thuerey

28 papers · 2019–2025 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (34) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸ† Grand Slam πŸ‘‘ Triple Crown ⚑ Prolific Year (6) πŸ’Ž Century Club (28) πŸ—ƒοΈ Keyword Collector (84) πŸ”₯ Unstoppable (7)

Conferences

ICLR (13) NIPS (6) CVPR (5) ICML (3) AAAI (1)

Top co-authors

Philipp Holl (5) Lukas Prantl (4) Vladlen Koltun (4) Patrick Schnell (3) Georg Kohl (3) Benjamin Holzschuh (3) Benjamin Ummenhofer (2) Igor Santesteban (2) Kiwon Um (2) Felix Koehler (2)

Keywords

inverse problem (3) physics simulation (3) partial differential equation (3) differentiable rendering (2) self-supervised learning (2) generative model (2) differentiable physics (2) virtual try-on (2) similarity metric (2) implicit representation (2) fluid dynamics (2) numerical simulation (2) garment deformation (2) neural network (2) 3d reconstruction (2) dynamic scene (1) 3d vision (1) implicit neural representation (1) score matching (1) image generation (1)

Papers

Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula ICLR 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks ICLR 2025
PRDP: Progressively Refined Differentiable Physics ICLR 2025
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks ICLR 2025
PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations ICML 2025
Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster ICLR 2025
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics ICLR 2024
$\bfΦ_\textrmFlow$: Differentiable Simulations for PyTorch, TensorFlow and Jax ICML 2024
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs NIPS 2024
Stabilizing Backpropagation Through Time to Learn Complex Physics ICLR 2024
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs AAAI 2023
Solving Inverse Physics Problems with Score Matching NIPS 2023
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision ICLR 2023
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics NIPS 2022
ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On NIPS 2022
Half-Inverse Gradients for Physical Deep Learning ICLR 2022
Scale-invariant Learning by Physics Inversion NIPS 2022
TemporalUV: Capturing Loose Clothing With Temporally Coherent UV Coordinates CVPR 2022
Global Transport for Fluid Reconstruction With Learned Self-Supervision CVPR 2021
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On CVPR 2021
Neural Scene Graphs for Dynamic Scenes CVPR 2021
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds ICLR 2020
Correspondence-Free Material Reconstruction using Sparse Surface Constraints CVPR 2020
Lagrangian Fluid Simulation with Continuous Convolutions ICLR 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers NIPS 2020
Learning to Control PDEs with Differentiable Physics ICLR 2020
Learning Similarity Metrics for Numerical Simulations ICML 2020
Generating Liquid Simulations with Deformation-aware Neural Networks ICLR 2019