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
Phil BlunsomOxford University & CohereVerified email at cs.ox.ac.uk
Fabio PetroniSamaya AIVerified email at samaya.ai
Matko BošnjakDeepMindVerified email at deepmind.com
Minqi JiangUniversity College London & FAIR, Meta AIVerified email at ucl.ac.uk
Heinrich KüttlerInflection AIVerified email at math.lmu.de
Pasquale MinerviniUniversity of Edinburgh, University College London, ELLISVerified email at ed.ac.uk
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.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, Meta AIVerified email at fb.com
Aleksandra PiktusCohere | Sapienza, University of RomeVerified email at cohere.com
Jack Parker-HolderGoogle DeepMindVerified email at google.com
Douwe KielaContextual AI, Stanford UniversityVerified email at stanford.edu
Gregory FarquharDeepMindVerified email at google.com
Yuxiang WuUniversity College LondonVerified email at ucl.ac.uk
Nantas NardelliCarbon ReVerified email at carbonre.com

Tim Rocktäschel

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	1676	2019
Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	906	2016
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	885	2020
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (Oral), 2017	424	2017
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	400	2016
e−SNLI: Natural Language Inference with Natural Language Explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	399	2018
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016 (Best Paper Award), 2016	318	2016
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	317	2012
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	296	2015
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	284	2015
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	283	2021
A Survey of Reinforcement Learning Informed by Natural Language J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ... IJCAI 2019, 2019	230	2019
A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning R Kirk, A Zhang, E Grefenstette, T Rocktäschel JAIR, 2023	185*	2023
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	166	2016
Programming with a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel ICML 2017, 2017	160*	2017
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	147	2019
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments R Raileanu, T Rocktäschel ICLR 2020, 2020	144	2020
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	141	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	136	2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning G Farquhar, T Rocktäschel, M Igl, S Whiteson ICLR 2018, 2018	135	2018

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