Tim Rocktäschel

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Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLVerified email at google.com
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk
Minqi JiangFAIR, Meta AIVerified email at ucl.ac.uk
Fabio PetroniSamaya AIVerified email at samaya.ai
Phil BlunsomOxford University & CohereVerified email at cs.ox.ac.uk
Matko BošnjakDeepMindVerified email at deepmind.com
Heinrich KüttlerInflection AIVerified email at math.lmu.de
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Pasquale MinerviniUniversity of Edinburgh, University College London, ELLISVerified email at ed.ac.uk
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Sameer SinghAssociate Professor, University of California IrvineVerified email at uci.edu
Alexander Holden MillerMeta Fundamental AI Research (FAIR)Verified email at meta.com
Roberta RaileanuResearch Scientist, MetaVerified email at fb.com
Aleksandra PiktusCohere | Sapienza, University of RomeVerified email at cohere.com
Jack Parker-HolderGoogle DeepMind, UCLVerified email at google.com
Robert KirkPhD Student, University College LondonVerified email at ucl.ac.uk
Douwe KielaContextual AI, Stanford UniversityVerified email at stanford.edu
Mikayel SamvelyanMeta AI & UCLVerified email at meta.com
Yuxiang WuUniversity College LondonVerified email at ucl.ac.uk

Tim Rocktäschel

Other namesTim Rocktaeschel, Tim Rocktaschel

Professor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMind

Verified email at cs.ucl.ac.uk - Homepage

Artificial Intelligence Open-Endedness Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Language Models as Knowledge Bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019, 2019	1838	2019
Retrieval-augmented Generation for Knowledge-intensive NLP Tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... NeurIPS 2020, 2020	1080	2020
Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	914	2016
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (Oral), 2017	437	2017
e−SNLI: Natural Language Inference with Natural Language Explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	434	2018
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	412	2016
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016 (Best Paper Award), 2016	325	2016
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	323	2012
KILT: a Benchmark for Knowledge Intensive Language Tasks F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ... NAACL-HLT 2021, 2021	308	2021
The CHEMDNER Corpus of Chemicals and Drugs and its Annotation Principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of Cheminformatics, 2015	303	2015
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	288	2015
A Survey of Reinforcement Learning Informed by Natural Language J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ... IJCAI 2019, 2019	254	2019
A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning R Kirk, A Zhang, E Grefenstette, T Rocktäschel JAIR, 2023	204*	2023
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	167	2016
Programming with a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel ICML 2017, 2017	164*	2017
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments R Raileanu, T Rocktäschel ICLR 2020, 2020	156	2020
Learning to Speak and Act in a Fantasy Text Adventure Game J Urbanek, A Fan, S Karamcheti, S Jain, S Humeau, E Dinan, ... EMNLP 2019, 2019	154	2019
How Context Affects Language Models' Factual Predictions F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, A H. Miller, S Riedel AKBC 2020 (Best Paper Award), 2020	152	2020
Interpretation of Natural Language Rules in Conversational Machine Reading M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ... EMNLP 2018, 2018	143	2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning G Farquhar, T Rocktäschel, M Igl, S Whiteson ICLR 2018, 2018	140	2018

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