iiinova — where your digital self keeps evolving

Reposted by David Leeftink

Max Hinne @maxhinne.bsky.social · 29/09/2026

Bayesian analyses are great, but making the right model is very challenging. Come work with me on implementing efficient Bayesian multiverses, where we help researchers across empirical domains to improve their models! More information on the Radboud University website: www.ru.nl/en/working-a...

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Research Assistant at the Donders Centre for Cognition: Computational Modelling and Scientific Software | Radboud University

Do you want to work as a Research Assistant at the Donders Centre for Cognition: Computational Modelling and Scientific Software? Check our vacancy!

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Reposted by David Leeftink

Kai Ploeger @kaiploeger.bsky.social · 24/06/2026

Learning five-ball juggling on the second attempt, with two Barrett WAMs. Most humans take years of practice. Paper and videos: kai-ploeger.com/residual-juggling #robotics #juggling

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Reposted by David Leeftink

marcelvangerven.bsky.social @marcelvangerven.bsky.social · 08/05/2026

Proud to share a new pre-print by @davidleeftink.bsky.social and with @maxhinne.bsky.social. We make a formal connection between the Pontryagin minimum principle and deep recurrent reinforcement learning, improving performance on challenging control tasks! arxiv.org/pdf/2605.05373

Recurrent Reinforcement Learning via Neural co-state policies. NCP s are regularized during training to mirror the optimality conditions implied by the minimum principle. By structuring the hidden states as representations of the underlying optimal control co-states, the read-out layer acts as a control-Hamiltonian minimizer.

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David Leeftink @davidleeftink.bsky.social · 31/03/2026

How can Bayesian optimization enable the discovery of complex laser processes in semiconductor manufacturing?

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Reposted by David Leeftink

Clément Canonne @ccanonne.github.io · 06/03/2026

Leibniz, looking at the universe: "Why is there something instead of nothing?" Me, looking at my Outlook calendar: same

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Reposted by David Leeftink

Christian Wolf @chriswolfvision.bsky.social · 05/03/2026

It's time for this picture again ... #ECCV2026

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Reposted by David Leeftink

Max Hinne @maxhinne.bsky.social · 01/12/2025

Proud to share a new pre-print by @davidleeftink.bsky.social and with @marcelvangerven.bsky.social on Bayesian optimization for automatic laser dicing in semiconductor manufacturing! arxiv.org/abs/2511.23141

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Reposted by David Leeftink

Matti Vuorre @matti.vuorre.com · 14/10/2025

Against Publishing: universonline.nl/nieuws/2025/... Preprints are read, shared, and cited, yet still dismissed as incomplete until blessed by a publisher. I argue that the true measure of scholarship lies in open exchange, not in the industry’s gatekeeping of what counts as published.

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David Leeftink @davidleeftink.bsky.social · 03/09/2025

Our recent paper “Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization,” has been accepted to CDC 2025! We demonstrate how applying optimal control principles can significantly improve planning in deep model-based reinforcement learning with epistemic uncertainty.

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