Nature

Probabilistic Programming and Inference Algorithms

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

Probabilistic Inference in Medical Imaging via Conditional GANs | Assad Oberai, PhD

For those of you who were unable to join the webinar live, the stream is now available for everyone to watch here or on YouTube. Many medical imaging tasks, like image de-noising, de-blurring, ...
uni

Efficient Probabilistic Inference with Orthogonal Tensor Train Decomposition

Even though PGMs reduce memory complexity of full joint distributions and can therefore make inference algorithms like variable elimination or the junction tree algorithm tractable in some cases, the ...
Helsinki

Postdoc position in Probabilistic Machine Learning and Amortized Inference

The Department of Computer Science, Faculty of Science, University of Helsinki invites applications for a Postdoctoral Researcher in Probabilistic Machine Learning and Amortized Inference. The is an ...
Concordia University

Advances in probabilistic sentential decision diagram learning and inference

Probabilistic Sentential Decision Diagrams (PSDDs) are an elegant framework for learning from and reasoning about data. They provide tractable representations of discrete probability distributions ...
Helsinki

Postdoctoral position in Sample-Efficient Probabilistic Machine Learning

The Department of Computer Science, Faculty of Science, University of Helsinki invites applications for a Postdoctoral Researcher in Sample-Efficient Probabilistic Machine Learning. The is an ...

The New Frontier Of LLM Inference: Where The Next Tenfold Gains Will Come From

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...