Tim Rocktäschel

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Sebastian RiedelProfessor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
Edward GrefenstetteHead of Machine Learning, Cohere; Honorary Professor, UCLVerified email at cohere.com
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
Phil BlunsomOxford University & CohereVerified email at cs.ox.ac.uk
Matko BošnjakDeepMindVerified email at deepmind.com
Fabio PetroniSamaya AIVerified email at samaya.ai
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
Heinrich KüttlerInflection AIVerified email at math.lmu.de
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Sameer SinghAssociate Professor, University of California IrvineVerified email at uci.edu
Minqi JiangUniversity College London & FAIR, Meta AIVerified email at ucl.ac.uk
Alexander Holden MillerResearch Engineer, FacebookVerified email at fb.com
Aleksandra PiktusHugging Face | Sapienza, University of RomeVerified email at huggingface.co
Roberta RaileanuResearch Scientist, FAIR / MetaVerified email at fb.com
Gregory FarquharDeepMindVerified email at google.com
Nantas NardelliCarbon ReVerified email at carbonre.com
Jack Parker-HolderResearch Scientist at DeepMindVerified email at google.com
Douwe KielaStanford UniversityVerified email at stanford.edu
Yuxiang WuUniversity College LondonVerified email at ucl.ac.uk

Tim Rocktäschel

Research Scientist at DeepMind, Associate Professor at UCL

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

Artificial Intelligence Reinforcement Learning Open Endedness


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	1224	2019
Reasoning about Entailment with Neural Attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	879	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	612	2020
End-to-End Differentiable Proving T Rocktäschel, S Riedel NeurIPS 2017 (Oral), 2017	384	2017
Stance Detection with Bidirectional Conditional Encoding I Augenstein, T Rocktäschel, A Vlachos, K Bontcheva EMNLP 2016, 2016	358	2016
e−SNLI: Natural Language Inference with Natural Language Explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	317	2018
ChemSpot: a Hybrid System for Chemical Named Entity Recognition T Rocktäschel, M Weidlich, U Leser Bioinformatics, 2012	300	2012
emoji2vec: Learning Emoji Representations from their Description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel SocialNLP 2016 (Best Paper Award), 2016	293	2016
Injecting Logical Background Knowledge into Embeddings for Relation Extraction T Rocktäschel, S Singh, S Riedel NAACL 2015, 2015	275	2015
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	263	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	204	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	193	2019
Lifted Rule Injection for Relation Embeddings T Demeester, T Rocktäschel, S Riedel EMNLP 2016, 2016	157	2016
Programming with a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel ICML 2017, 2017	156*	2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning G Farquhar, T Rocktäschel, M Igl, S Whiteson ICLR 2018, 2018	127	2018
Frustratingly Short Attention Spans in Neural Language Modeling M Daniluk, T Rocktäschel, J Welbl, S Riedel ICLR 2017, 2017	127	2017
A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning R Kirk, A Zhang, E Grefenstette, T Rocktäschel JAIR, 2023	119*	2023
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	119	2019
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments R Raileanu, T Rocktäschel ICLR 2020, 2020	116	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	116	2018

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