Nils Thuerey
28 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Renaissance Researcher (7) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (34)
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Conference Polyglot
(5)
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Grand Slam
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Prolific Year
(6)
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Century Club
(28)
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Keyword Collector
(84)
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Unstoppable
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Conferences
ICLR (13)
NIPS (6)
CVPR (5)
ICML (3)
AAAI (1)
Top co-authors
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