Search Results for author: Zohreh Shams

Found 6 papers, 2 papers with code

Efficient Decompositional Rule Extraction for Deep Neural Networks

1 code implementation24 Nov 2021 Mateo Espinosa Zarlenga, Zohreh Shams, Mateja Jamnik

In recent years, there has been significant work on increasing both interpretability and debuggability of a Deep Neural Network (DNN) by extracting a rule-based model that approximates its decision boundary.

On The Quality Assurance Of Concept-Based Representations

no code implementations29 Sep 2021 Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Mateja Jamnik

Recent work on Explainable AI has focused on concept-based explanations, where deep learning models are explained in terms of high-level units of information, referred to as concepts.

Disentanglement

Using ontology embeddings for structural inductive bias in gene expression data analysis

no code implementations22 Nov 2020 Maja Trębacz, Zohreh Shams, Mateja Jamnik, Paul Scherer, Nikola Simidjievski, Helena Andres Terre, Pietro Liò

Stratifying cancer patients based on their gene expression levels allows improving diagnosis, survival analysis and treatment planning.

Survival Analysis

Incorporating network based protein complex discovery into automated model construction

no code implementations29 Sep 2020 Paul Scherer, Maja Trȩbacz, Nikola Simidjievski, Zohreh Shams, Helena Andres Terre, Pietro Liò, Mateja Jamnik

We propose a method for gene expression based analysis of cancer phenotypes incorporating network biology knowledge through unsupervised construction of computational graphs.

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library

1 code implementation16 Apr 2020 Dmitry Kazhdan, Zohreh Shams, Pietro Liò

Multi-Agent Reinforcement Learning (MARL) encompasses a powerful class of methodologies that have been applied in a wide range of fields.

Model extraction Multi-agent Reinforcement Learning +1

Practical Reasoning with Norms for Autonomous Software Agents (Full Edition)

no code implementations28 Jan 2017 Zohreh Shams, Marina De Vos, Julian Padget, Wamberto W. Vasconcelos

Autonomous software agents operating in dynamic environments need to constantly reason about actions in pursuit of their goals, while taking into consideration norms which might be imposed on those actions.

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