"ode solvers" Papers

9 papers found

Filters:ode solversClear all

Conference

AAAI 2025 (3,028)COLM 2025 (418)CVPR 2025 (2,873)ICCV 2025 (2,701)ICLR 2025 (3,827)ICML 2025 (3,340)ISMAR 2025 (229)NEURIPS 2025 (5,858)AAAI 2024 (2,289)CVPR 2024 (2,716)ECCV 2024 (2,387)ICLR 2024 (2,297)ICML 2024 (2,635)

Paper Type

poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)

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