When was the author of 'Efficient Information Theoretic Clustering on Discrete Lattices' born?
November 28, 1973
Kristian Kersting is affiliated University of Bonn, Faculty of Agriculture, Germany. Katharina Hämmerl et al.: Speaking Multiple Languages Affects the Moral Bias of Language Models. (2019) authored by Kristian Kersting. Shuo Yang et al.: Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study. (2015) authored by Kristian Kersting. authored by Kristian Kersting. Katharina Hämmerl et al.: Speaking Multiple Languages Affects the Moral Bias of Language Models. (2023) authored by Kristian Kersting. Jannik Kossen et al.: Structured Object-Aware Physics Prediction for Video Modeling and Planning. (2019) authored by Kristian Kersting. Kristian Kersting is the author of Niyati Rawal et al.: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. (2021) and Daniel Ochs et al.: Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images. (2013). Kristian Kersting's alternative name is "Kristian Kersting". He is the author of AtMan: Understanding Transformer Predictions through Memory Efficient Attention Manipulation. (2023) authored by Kristian Kersting. Manuel Brack et al.: Revision Transformers: Instructing Language Models to Change Their Values. (2015) authored by Kristian Kersting. CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability. (2021) authored by Kristian Kersting. Johannes Czech et al.: Learning to Play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data. (2020) authored by Kristian Kersting. Björn Deiseroth et al.: ATMAN: Understanding Transformer Predictions. (2019) authored by Kristian Kersting. Alejandro Molina et al.: Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. (2021) authored by Kristian Kersting. <unk>ILP: Thinking visual scenes as differentiable logic programs. (2020) authored by Kristian Kersting. Quentin Delfosse et al.: Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. (2023) authored by Kristian Kersting. Sriraam Natarajan et al.: Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction. (2016) authored by Kristian Ker Kristian Kersting received the Fraunhofer Attract grant with a budget of 2 million euros in 2008.
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Question: When was the author of 'Efficient Information Theoretic Clustering on Discrete Lattices' born?
Context: Kristian Kersting is affiliated University of Bonn, Faculty of Agriculture, Germany. Katharina Hämmerl et al.: Speaking Multiple Languages Affects the Moral Bias of Language Models. (2019) authored by Kristian Kersting. Shuo Yang et al.: Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study. (2015) authored by Kristian Kersting. authored by Kristian Kersting. Katharina Hämmerl et al.: Speaking Multiple Languages Affects the Moral Bias of Language Models. (2023) authored by Kristian Kersting. Jannik Kossen et al.: Structured Object-Aware Physics Prediction for Video Modeling and Planning. (2019) authored by Kristian Kersting. Kristian Kersting is the author of Niyati Rawal et al.: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. (2021) and Daniel Ochs et al.: Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images. (2013). Kristian Kersting's alternative name is "Kristian Kersting". He is the author of AtMan: Understanding Transformer Predictions through Memory Efficient Attention Manipulation. (2023) authored by Kristian Kersting. Manuel Brack et al.: Revision Transformers: Instructing Language Models to Change Their Values. (2015) authored by Kristian Kersting. CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability. (2021) authored by Kristian Kersting. Johannes Czech et al.: Learning to Play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data. (2020) authored by Kristian Kersting. Björn Deiseroth et al.: ATMAN: Understanding Transformer Predictions. (2019) authored by Kristian Kersting. Alejandro Molina et al.: Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. (2021) authored by Kristian Kersting. <unk>ILP: Thinking visual scenes as differentiable logic programs. (2020) authored by Kristian Kersting. Quentin Delfosse et al.: Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. (2023) authored by Kristian Kersting. Sriraam Natarajan et al.: Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction. (2016) authored by Kristian Ker Kristian Kersting received the Fraunhofer Attract grant with a budget of 2 million euros in 2008.
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