Research Centre for Machine Learning meeting on Explainable AI When: Fri, 29 November 2019, 4:00pm Where: AG01, College Building SHAP is an increasingly popular method for providing local explanations of AI system predictions. SHAP is based on the game-theory concept of Shapley Values. Shapley Values are the unique solution for fairly attributing the benefits of…Continue Reading Research Centre for Machine Learning meeting, Fri 29 Nov, 4:00pm

Data Bites seminar When: Mon, 11 November 2019, 5:00pm Where: A130, College Building Who: Kevin Ryan; City, University of London Title: Deep Learning and Computer Vision in the Property Market – Making the ‘Right’ Move Abstract: Rightmove is the UK’s largest online real estate portal. The company was started in 2000 by the top four corporate…Continue Reading Data Bites seminar, Mon 11 Nov, 5:00pm

MPhil-PhD transfer presentation When: Wed, 16th Oct 2019, 12.00 noon Where: A108 (1st Floor, College Building) Who: Benedikt Wagner; City, University of London Title: Reasoning about what has been learned: Knowledge Extraction from Neural Networks Abstract: Machine Learning-based systems, including Neural Networks, are experiencing greater popularity in recent years. A weakness of these model that rely on…Continue Reading MPhil-PhD transfer seminar – Benedikt Wagner

Machine Learning seminar When: Wed, 07 August 2019, 3:00pm Where: AG22, College Building Who: Alessandro Daniele; Fondazione Bruno Kessler (Trento, Italy) Title: Knowledge Enhanced Neural Networks Abstract: We propose Knowledge Enhanced Neural Networks (KENN), an architecture for injecting prior knowledge, codified by a set of logical clauses, into a neural network. In KENN clauses are directly…Continue Reading ML seminar, Wed 07 Aug, 3:00pm

Machine Learning seminar When: Wed, 19 June 2019, 2:00pm Where: A225, College Building Who: Adam White; City, University of London. Title: Measurable Counterfactual Explanations for Any Classifier Abstract: The predictions of machine learning systems need to be explainable to the individuals they affect. Yet the inner workings of many machine learning systems seem unavoidably opaque. In…Continue Reading ML seminar, Wed 19 June, 2:00pm

Machine Learning seminar When: Tue, 28 May 2019, 3:30pm Where: AG07b, College Building Who: Marco Gori, University of Siena, Italy. Title: The Principle of Least Cognitive Action Abstract: In this talk we introduce the principle of Least Cognitive Action with the purpose of understanding perceptual learning processes. The principle closely parallels related approaches in physics, and…Continue Reading ML seminar, Tue 28 May, 3:30pm

Machine Learning seminar When: Fri, 17 May 2019, 2pm Where: AG03, College Building Who: Wang-Zhou Dai, Imperial College London. Title: Bridging Machine Learning and Logical Reasoning by Abductive Learning Abstract: Perception and reasoning are two representative abilities of intelligence that are integrated seamlessly during problem-solving processes. In the area of artificial intelligence (AI), perception is usually…Continue Reading ML seminar, Fri 17 May, 2pm

Machine Learning seminar When: Wed, 3 Apr 2019, 2pm Where: A226, College Building Who: Derek Doran,Wright State University. Title: Mappers and Manifolds Matter! Abstract: Topological Data Analysis (TDA) is a branch of data science that estimates and then exploits the “shape” of a dataset for downstream characterization and inference. TDA methods arerising in popularity in the ML community as a tool…Continue Reading ML seminar, Wed 3 Apr, 2pm

Machine Learning seminar When: Wed, 13 Mar 2019, 2pm Where: A226, College Building Who: Robin Manhaeve, Katholieke Universiteit Leuven, Belgium. Title: DeepProbLog: Neural Probabilistic Logic Programming Abstract: We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning by means of neural predicates. We show how existing inference and learning techniques can be adapted for the…Continue Reading ML seminar, Wed 13 Mar, 2pm