Sadegh Salehi
@sadeghsalehi.bsky.social
Researching optimisation, machine learning, inverse problems, and computer vision
Are you interested in bilevel learning for tasks like learning data-adaptive regularisers (e.g., Field of Experts) or optimising forward operators (e.g., undersampled MRI) in variational regularisation on large datasets?
Check out our latest preprint! 🧵
arxiv.org/abs/2412.12049
Check out our latest preprint! 🧵
arxiv.org/abs/2412.12049
Bilevel Learning with Inexact Stochastic Gradients
Bilevel learning has gained prominence in machine learning, inverse problems, and imaging applications, including hyperparameter optimization, learning data-adaptive regularizers, and optimizing forwa...
arxiv.org
December 17, 2024 at 4:54 PM
Are you interested in bilevel learning for tasks like learning data-adaptive regularisers (e.g., Field of Experts) or optimising forward operators (e.g., undersampled MRI) in variational regularisation on large datasets?
Check out our latest preprint! 🧵
arxiv.org/abs/2412.12049
Check out our latest preprint! 🧵
arxiv.org/abs/2412.12049
🔍 Are Primal-Dual methods like PDHG your go-to for imaging tasks?
💡 Interested in using them within a bilevel framework to learn data-adaptive regularisers like input-convex neural networks (ICNNs)?
Check out our latest preprint:
arxiv.org/abs/2412.06436
💡 Interested in using them within a bilevel framework to learn data-adaptive regularisers like input-convex neural networks (ICNNs)?
Check out our latest preprint:
arxiv.org/abs/2412.06436
An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation
We consider a bilevel learning framework for learning linear operators. In this framework, the learnable parameters are optimized via a loss function that also depends on the minimizer of a convex opt...
arxiv.org
December 14, 2024 at 8:56 PM
🔍 Are Primal-Dual methods like PDHG your go-to for imaging tasks?
💡 Interested in using them within a bilevel framework to learn data-adaptive regularisers like input-convex neural networks (ICNNs)?
Check out our latest preprint:
arxiv.org/abs/2412.06436
💡 Interested in using them within a bilevel framework to learn data-adaptive regularisers like input-convex neural networks (ICNNs)?
Check out our latest preprint:
arxiv.org/abs/2412.06436