Poster "ode solvers" Papers

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Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling

Ruoyu Wang, Beier Zhu, Junzhi Li et al.

NEURIPS 2025arXiv:2510.23285
3
citations

CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers

Jiaqi Han, Haotian Ye, Puheng Li et al.

ICCV 2025arXiv:2507.15260

Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models

Beier Zhu, Ruoyu Wang, Tong Zhao et al.

ICCV 2025arXiv:2507.14797
6
citations

PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores

Guangyi Wang, Yuren Cai, lijiang Li et al.

ICLR 2025arXiv:2408.08822
5
citations

SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories

zhangkai wu, Xuhui Fan, Hongyu Wu et al.

NEURIPS 2025arXiv:2502.16972
1
citations

$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax

Philipp Holl, Nils Thuerey

ICML 2024

Accelerating Convergence of Score-Based Diffusion Models, Provably

Gen Li, Yu Huang, Timofey Efimov et al.

ICML 2024arXiv:2403.03852
70
citations

Distilling ODE Solvers of Diffusion Models into Smaller Steps

Sanghwan Kim, Hao Tang, Fisher Yu

CVPR 2024arXiv:2309.16421
10
citations

Neural Diffusion Models

Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth

ICML 2024arXiv:2310.08337
16
citations