Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

This is a preview. Log in through your library . Abstract We propose a probabilistic algorithm for factorization of an integer $N$ with run time $(\exp\sqrt{\log N ...

We present a probabilistic greedy search method for combinatorial optimisation problems. This approach is implemented and evaluated for the Set Covering Problem (SCP) and shown to yield a simple, ...

A phase I trial of nab-paclitaxel/bevacizumab (AB160) nano-immunoconjugate therapy for metastatic gynecological malignancies: MC1371 (NCT02020707). This is an ASCO ...

The study shows how probabilistic clustering supports intelligent data transmission strategies. The authors propose leveraging cluster probabilities to define transmission rules: sensors with a high ...

The phenomenal success of our integrated circuits managed to obscure an awkward fact: they're not always the best way to solve problems. The features of modern computers—binary operations, separated ...

It is a curious quirk of the age that, when confronted with the outputs of large language models or predictive systems, we slip into the language of personality. We say “the AI thinks”, “it refuses to ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October.