"differentiable optimization" Papers
11 papers found
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
Aron Brenner, Rahman Khorramfar, Jennifer Sun et al.
ICLR 2025posterarXiv:2409.03731
Differentiation Through Black-Box Quadratic Programming Solvers
Connor Magoon, Fengyu Yang, Noam Aigerman et al.
NeurIPS 2025posterarXiv:2410.06324
3
citations
LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models
Fan-Yun Sun, Weiyu Liu, Siyi Gu et al.
CVPR 2025posterarXiv:2412.02193
45
citations
Puppeteer: Rig and Animate Your 3D Models
Chaoyue Song, Xiu Li, Fan Yang et al.
NeurIPS 2025oralarXiv:2508.10898
12
citations
Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization
Noémie Bergues, Arthur Carré, Paul Join-Lambert et al.
NeurIPS 2025posterarXiv:2506.06305
1
citations
Deep Quantum Error Correction
Yoni Choukroun, Lior Wolf
AAAI 2024paperarXiv:2301.11930
18
citations
D-Flow: Differentiating through Flows for Controlled Generation
Heli Ben-Hamu, Omri Puny, Itai Gat et al.
ICML 2024posterarXiv:2402.14017
Differentiability and Optimization of Multiparameter Persistent Homology
Luis Scoccola, Siddharth Setlur, David Loiseaux et al.
ICML 2024posterarXiv:2406.07224
Differentiable Model Scaling using Differentiable Topk
Kai Liu, Ruohui Wang, Jianfei Gao et al.
ICML 2024posterarXiv:2405.07194
FreeAugment: Data Augmentation Search Across All Degrees of Freedom
Tom Bekor, Niv Nayman, Lihi Zelnik-Manor
ECCV 2024posterarXiv:2409.04820
2
citations
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee et al.
ICML 2024posterarXiv:2405.08424