Drew, Dave, Larissa and I had the opportunity to explore the motivatons and foundations for instigating The brand new analysis concept of Experiential AI in a 90 minute chat.
Thinking about synthesizing the semantics of programming languages? We now have a completely new paper on that, accepted at OOPSLA.
Will be speaking for the AIUK event on ideas and observe of interpretability in machine Mastering.
He has built a career out of doing research around the science and engineering of AI. He has printed close to 120 peer-reviewed posts, won best paper awards, and consulted with banking companies on explainability. As PI and CoI, he has secured a grant money of near eight million lbs.
We evaluate the problem of how generalized programs (plans with loops) is often considered right in unbounded and continual domains.
The report, to look within the Biochemist, surveys several of the motivations and strategies for creating AI interpretable and dependable.
Thinking about training neural networks with reasonable constraints? We've got a brand new paper that aims to whole fulfillment of Boolean and linear arithmetic constraints on training at AAAI-2022. Congrats to Nick and Rafael!
The short article introduces a basic sensible framework for reasoning about discrete and constant probabilistic products in dynamical domains.
A modern collaboration with the NatWest Group on explainable device Discovering is mentioned while in the Scotsman. Connection to write-up below. A preprint on the effects will likely be manufactured out there shortly.
Jonathan’s paper considers a lifted approached to weighted product integration, including circuit construction. Paulius’ https://vaishakbelle.com/ paper develops a measure-theoretic perspective on weighted model counting and proposes a way to encode conditional weights on literals analogously to conditional probabilities, which results in significant overall performance improvements.
Prolonged abstracts of our NeurIPS paper (on PAC-Studying in to start with-purchase logic) and the journal paper on abstracting probabilistic types was accepted to KR's not long ago published exploration track.
A journal paper on abstracting probabilistic styles has been accepted. The paper scientific studies the semantic constraints that enables a person to summary a posh, low-degree design with a less complicated, substantial-stage one.
Our Focus on synthesizing designs with loops from the existence of noise will appear in the Intercontinental journal of approximate reasoning.
Our paper on synthesizing designs with loops from the existence of probabilistic noise, recognized the journal of approximate reasoning, has also been approved on the ICAPS journal monitor. Preprint to the full paper below.