I gave a talk in the workshop on how the synthesis of logic and machine Studying, Particularly areas for instance statistical relational Understanding, can help interpretability.
Weighted product counting normally assumes that weights are only specified on literals, normally necessitating the necessity to introduce auxillary variables. We take into consideration a completely new tactic based upon psuedo-Boolean features, leading to a far more normal definition. Empirically, we also get SOTA effects.
The paper tackles unsupervised software induction more than blended discrete-steady details, which is approved at ILP.
He has created a vocation out of undertaking research within the science and technology of AI. He has revealed near a hundred and twenty peer-reviewed posts, gained most effective paper awards, and consulted with banks on explainability. As PI and CoI, he has secured a grant revenue of near to eight million lbs ..
An posting for the setting up and inference workshop at AAAI-18 compares two distinct approaches for probabilistic scheduling by https://vaishakbelle.com/ the use of probabilistic programming.
I gave a talk on our current NeurIPS paper in Glasgow whilst also masking other strategies for the intersection of logic, Finding out and tractability. Due to Oana for the invitation.
The issue we tackle is how the learning must be described when You can find lacking or incomplete data, leading to an account depending on imprecise probabilities. Preprint listed here.
The article introduces a general sensible framework for reasoning about discrete and ongoing probabilistic versions in dynamical domains.
We analyze organizing in relational Markov conclusion processes involving discrete and ongoing states and actions, and an unfamiliar range of objects (through probabilistic programming).
Together with colleagues from Edinburgh and Herriot Watt, We've got place out the demand a completely new study agenda.
Paulius' work on algorithmic methods for randomly producing logic applications and probabilistic logic applications continues to be accepted towards the principles and practise of constraint programming (CP2020).
The framework is applicable to a substantial class of formalisms, which include probabilistic relational designs. The paper also experiments the synthesis dilemma in that context. Preprint here.
Our work on synthesizing ideas with loops inside the presence of sound will seem while in the Global journal of approximate reasoning.
Our paper on synthesizing designs with loops during the existence of probabilistic sounds, approved the journal of approximate reasoning, has also been approved to your ICAPS journal observe. Preprint to the complete paper below.