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Nils Thuerey

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (5) πŸ† Grand Slam 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (138)

Venues

ICLR (13) NeurIPS (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)

Research topics

Deep Learning (22) Machine Learning (20) Optimization & Theory (10) Artificial Intelligence (8) Computer Vision (8) Architectures (8) Core AI (8) Models (8) Mathematics & Optimization (6) Analysis (6) Computer Science (5) Applications (5) Learning Types (5) Optimization (5) Core Methods (4)

Keywords

physics simulation (7) neural network (6) fluid dynamics (5) differentiable physics (5) inverse problem (4) partial differential equation (4) fluid simulation (3) garment deformation (2) temporal coherence (2) neural network training (2) self-supervised learning (2) loss function (2) differentiable rendering (2) similarity metric (2) diffusion model (2) gradient descent (2) 3d reconstruction (2) implicit representation (2) generative model (2) virtual try-on (2)

Papers

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