https://vaishakbelle.com/ for Dummies

I gave a chat within the workshop on how the synthesis of logic and equipment Mastering, Specially locations which include statistical relational Mastering, can enable interpretability.

Weighted design counting usually assumes that weights are only specified on literals, usually necessitating the need to introduce auxillary variables. We look at a different solution based on psuedo-Boolean capabilities, bringing about a far more typical definition. Empirically, we also get SOTA results.

The paper tackles unsupervised system induction more than blended discrete-constant info, and is approved at ILP.

He has designed a profession away from performing exploration about the science and engineering of AI. He has posted near to a hundred and twenty peer-reviewed posts, received very best paper awards, and consulted with banking companies on explainability. As PI and CoI, he has secured a grant earnings of near to eight million lbs.

An post on the organizing and inference workshop at AAAI-18 compares two distinct strategies for probabilistic planning by means of probabilistic programming.

I gave a chat on our the latest NeurIPS paper in Glasgow when also covering other approaches at the intersection of logic, Mastering and tractability. As a result of Oana for that invitation.

Interested in education neural networks with reasonable constraints? We have now a new paper that aims in direction of comprehensive fulfillment of Boolean and linear arithmetic constraints on teaching at AAAI-2022. Congrats to Nick and Rafael!

Bjorn and I are promotion a 2 12 months postdoc on integrating causality, reasoning and know-how graphs for misinformation detection. See here.

Hyperlink In the last 7 days https://vaishakbelle.com/ of Oct, I gave a chat informally talking about explainability and ethical responsibility in artificial intelligence. Due to the organizers with the invitation.

Jonathan’s paper considers a lifted approached to weighted design integration, including circuit development. Paulius’ paper develops a measure-theoretic standpoint on weighted model counting and proposes a means to encode conditional weights on literals analogously to conditional probabilities, which leads to significant general performance enhancements.

Paulius' Focus on algorithmic strategies for randomly making logic applications and probabilistic logic systems is recognized towards the ideas and practise of constraint programming (CP2020).

Our MLJ (2017) posting on arranging with hybrid MDPs was acknowledged for presentation in the journal keep track of.

If you are attending AAAI this yr, chances are you'll have an interest in testing our papers that contact on fairness, abstraction and generalized sum-product difficulties.

Our paper on synthesizing ideas with loops inside the existence of probabilistic sounds, recognized the journal of approximate reasoning, has also been recognized to the ICAPS journal track. Preprint to the complete paper listed here.