Author

Conor Heins

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Oct 2026

Variational Filtering for Bayesian Last Layers with an Independent Binary Probit Surrogate

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 corrects calibration after training but cannot influence training-time accuracy or convergence. We propose a variational filtering algorithm f...

Dimitrije Markovic, Conor Heins, Alexander Tschantz et al. · 0 citations

Preprint Oct 2026

Collective Sensing as Emergent Bayesian Inference

Collective behavior in animal groups is routinely described in cognitive language: fish schools sense gradients, swarms compute, colonies decide. These formulations often leave open what the collective is inferring, what computational object is represented, or how that representation arises from microscopic interaction...

Conor Heins · 0 citations

#artificial intelligence Dec 2025

Soft Geometric Inductive Bias for Object Centric Dynamics

Compared to both unstructured baselines and strictly equivariant models, the soft Clifford transformer achieves better long-horizon fidelity, particularly in regimes with broken symmetries, suggesting that geometric algebra offers an effective middle ground.

H. Linander, Conor Heins, Alexander Tschantz et al. · arXiv.org · 0 citations