Fetching the paper…
Reading the bibliography…
Diffusion models have recently emerged as effective generative frameworks for trajectory optimization, capable of producing high-quality and diverse solutions.
Boggs, P.T., Tolle, J.W.: Sequential quadratic programming. Acta numerica 4
1995
Earlier work this paper cites.
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN’95-international conference on neural networks. vol. 4, pp. 1942–1948. IEEE (1995)
1995
Earlier work this paper cites.
Wales, D.J., Doye, J.P.: Global optimization by basin-hopping and the lowest energy structures of lennard-jones clusters containing up to 110 atoms. The Journal of Physical Chemistry A 101
1997
Earlier work this paper cites.
Mitchell, M.: An introduction to genetic algorithms. MIT press (1998)
1998
Earlier work this paper cites.
Leary, R.H.: Global optimization on funneling landscapes. Journal of Global Optimization 18
2000
Earlier work this paper cites.
Gill, P.E., Murray, W., Saunders, M.A.: Snopt: An sqp algorithm for large-scale constrained optimization. SIAM review 47
2005
Earlier work this paper cites.
Kappen, H.J.: Path integrals and symmetry breaking for optimal control theory. Journal of statistical mechanics: theory and experiment 2005
2005
Earlier work this paper cites.
Izzo, D., Becerra, V.M., Myatt, D.R., Nasuto, S.J., Bishop, J.M.: Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories. Journal of Global Optimization 38
2007
Earlier work this paper cites.
Vinkó, T., Izzo, D., Bombardelli, C.: Benchmarking different global optimisation techniques for preliminary space trajectory design. In: 58th international astronautical congress. pp. 24–28. Citeseer (2007)
2007
Earlier work this paper cites.
Yam, C., Lorenzo, D., Izzo, D.: Low-thrust trajectory design as a constrained global optimization problem. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 225
2011
Earlier work this paper cites.
2014
Earlier work this paper cites.
Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18. pp. 234–241. Springer (2015)
2015
Earlier work this paper cites.
Sohl-Dickstein, J., Weiss, E., Maheswaranathan, N., Ganguli, S.: Deep unsupervised learning using nonequilibrium thermodynamics. In: International conference on machine learning. pp. 2256–2265. PMLR (2015)
2015
Earlier work this paper cites.
Zhang, X., Bujarbaruah, M., Borrelli, F.: Safe and near-optimal policy learning for model predictive control using primal-dual neural networks. In: 2019 American Control Conference (ACC). pp. 354–359. IEEE (2019)
2019
Earlier work this paper cites.
Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Advances in neural information processing systems 33
2020
Earlier work this paper cites.
2020
Cited alongside, same era.
Bertsimas, D., Stellato, B.: The voice of optimization. Machine Learning 110
2021
Cited alongside, same era.
Dhariwal, P., Nichol, A.: Diffusion models beat gans on image synthesis. Advances in neural information processing systems 34
2021
Cited alongside, same era.
2022
Cited alongside, same era.
Chung, H., Sim, B., Ryu, D., Ye, J.C.: Improving diffusion models for inverse problems using manifold constraints. Advances in Neural Information Processing Systems 35
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Mazé, F., Ahmed, F.: Diffusion models beat gans on topology optimization. In: Proceedings of the AAAI conference on artificial intelligence. vol. 37, pp. 9108–9116 (2023)
2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2022
Cited alongside, same era.
Ho, J., Salimans, T.: Classifier-free diffusion guidance. arXiv preprint arXiv:2207.12598 (2022)
2022
Cited alongside, same era.
Ho, J., Salimans, T., Gritsenko, A., Chan, W., Norouzi, M., Fleet, D.J.: Video diffusion models. Advances in Neural Information Processing Systems 35
2022
Cited alongside, same era.
Hoogeboom, E., Satorras, V.G., Vignac, C., Welling, M.: Equivariant diffusion for molecule generation in 3d. In: International conference on machine learning. pp. 8867–8887. PMLR (2022)
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 10684–10695 (2022)
2022
Cited alongside, same era.
Trabucco, B., Geng, X., Kumar, A., Levine, S.: Design-bench: Benchmarks for data-driven offline model-based optimization. In: International Conference on Machine Learning. pp. 21658–21676. PMLR (2022)
2022
Cited alongside, same era.
Amos, B., et al.: Tutorial on amortized optimization. Foundations and Trends® in Machine Learning 16
2023
Cited alongside, same era.
Power, T., Soltani-Zarrin, R., Iba, S., Berenson, D.: Sampling constrained trajectories using composable diffusion models. In: IROS 2023 Workshop on Differentiable Probabilistic Robotics: Emerging Perspectives on Robot Learning (2023)
2023
Later among the works it cites.
Sun, Z., Yang, Y.: Difusco: Graph-based diffusion solvers for combinatorial optimization. Advances in neural information processing systems 36
2023
Later among the works it cites.
2023
Later among the works it cites.
2024
Later among the works it cites.
Christopher, J.K., Baek, S., Fioretto, N.: Constrained synthesis with projected diffusion models. Advances in Neural Information Processing Systems 37
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
Sambharya, R., Hall, G., Amos, B., Stellato, B.: Learning to warm-start fixed-point optimization algorithms. Journal of Machine Learning Research 25
2024
Later among the works it cites.
2024
Later among the works it cites.