161 citations · 528 across the 21 of their papers we have counts for
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stat.ML2026
Variational Filtering for Bayesian Last Layers with an Independent Binary Probit Surrogate
Dimitrije Markovic, Conor Heins, Alexander Tschantz +1
Modern deep classifiers trained by gradient descent need many passes over the data to become accurate, and even then are not always well calibrated; post-hoc temperature scaling co…
nlin.AO2026
Collective Sensing as Emergent Bayesian Inference
Conor Heins
Collective behavior in animal groups is routinely described in cognitive language: fish schools sense gradients, swarms compute, colonies decide. These formulations often leave ope…
cs.AI2026
A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment
Nikola Pižurica, Matteo Risso, Nikola Milović +4
Bayesian inference provides a principled foundation for reasoning under uncertainty, but its computational cost hinders deployment on resource-constrained edge devices. In this pap…