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Yee W. Teh, Ph.D. - Publications

Affiliations: 
2003 University of Toronto, Toronto, ON, Canada 
Area:
machine learning
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26/115 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Elliott LT, De Iorio M, Favaro S, Adhikari K, Teh YW. Modeling Population Structure Under Hierarchical Dirichlet Processes Bayesian Analysis. 14: 313-339. DOI: 10.1214/17-Ba1093  0.345
2018 Battiston M, Favaro S, Roy DM, Teh YW. A characterization of product-form exchangeable feature probability functions The Annals of Applied Probability. 28: 1423-1448. DOI: 10.1214/17-Aap1333  0.331
2018 Battiston M, Favaro S, Teh YW. Multi-Armed Bandit for Species Discovery: A Bayesian Nonparametric Approach Journal of the American Statistical Association. 113: 455-466. DOI: 10.1080/01621459.2016.1261711  0.304
2017 Lomelí M, Favaro S, Teh YW. A Marginal Sampler for σ-Stable Poisson–Kingman Mixture Models Journal of Computational and Graphical Statistics. 26: 44-53. DOI: 10.1080/10618600.2015.1110526  0.345
2016 Favaro S, Lijoi A, Nava C, Nipoti B, Prünster I, Teh YW. On the Stick-Breaking Representation for Homogeneous NRMIs Bayesian Analysis. 11: 697-724. DOI: 10.1214/15-Ba964  0.418
2015 Adams RP, Fox EB, Sudderth EB, Teh YW. Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics. Ieee Trans Pattern Anal Mach Intell. 37: 209-11. PMID 26598765 DOI: 10.1109/Tpami.2014.2380478  0.583
2015 Adams RP, Fox EB, Sudderth EB, Teh YW. Guest editors' introduction to the special issue on bayesian nonparametrics Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 209-211. DOI: 10.1109/TPAMI.2014.2380478  0.438
2014 Caron F, Teh YW, Murphy TB. Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes Annals of Applied Statistics. 8: 1145-1181. DOI: 10.1214/14-Aoas717  0.302
2014 Favaro S, Lomeli M, Teh YW. On a class of (Formula presented.) -stable Poisson–Kingman models and an effective marginalized sampler Statistics and Computing. 25: 67-78. DOI: 10.1007/S11222-014-9499-4  0.386
2013 Favaro S, Teh YW. MCMC for normalized random measure mixture models Statistical Science. 28: 335-359. DOI: 10.1214/13-Sts422  0.344
2011 Görür D, Teh YW. Concave-convex adaptive rejection sampling Journal of Computational and Graphical Statistics. 20: 670-691. DOI: 10.1198/Jcgs.2011.09058  0.316
2011 Wood F, Gasthaus J, Archambeau C, James L, Teh YW. The sequence memoizer Communications of the Acm. 54: 91-98. DOI: 10.1145/1897816.1897842  0.305
2009 Asuncion A, Welling M, Smyth P, Teh YW. On smoothing and inference for topic models Proceedings of the 25th Conference On Uncertainty in Artificial Intelligence, Uai 2009. 27-34.  0.329
2009 Heller KA, Teh YW, Görür D. Infinite hierarchical hidden Markov models Journal of Machine Learning Research. 5: 224-231.  0.347
2009 Van Gael J, Teh YW, Ghahramani Z. The infinite factorial hidden Markov model Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1697-1704.  0.513
2008 Van Gael J, Saatci Y, Teh YW, Ghahramani Z. Beam sampling for the infinite hidden Markov model Proceedings of the 25th International Conference On Machine Learning. 1088-1095.  0.454
2007 Teh YW, Görür D, Ghahramani Z. Stick-breaking construction for the Indian buffet process Journal of Machine Learning Research. 2: 556-563.  0.422
2006 Hinton G, Osindero S, Welling M, Teh YW. Unsupervised discovery of nonlinear structure using contrastive backpropagation. Cognitive Science. 30: 725-31. PMID 21702832 DOI: 10.1207/S15516709Cog0000_76  0.663
2006 Hinton GE, Osindero S, Teh YW. A fast learning algorithm for deep belief nets. Neural Computation. 18: 1527-54. PMID 16764513 DOI: 10.1162/Neco.2006.18.7.1527  0.662
2006 Teh YW, Jordan MI, Beal MJ, Blei DM. Hierarchical Dirichlet processes Journal of the American Statistical Association. 101: 1566-1581. DOI: 10.1198/016214506000000302  0.307
2004 Welling M, Teh YW. Linear response algorithms for approximate inference in graphical models. Neural Computation. 16: 197-221. PMID 15006029 DOI: 10.1162/08997660460734056  0.318
2004 Teh YW, Welling M, Osindero S, Hinton GE. Energy-based models for sparse overcomplete representations Journal of Machine Learning Research. 4: 1235-1260. DOI: 10.1162/Jmlr.2003.4.7-8.1235  0.673
2003 Welling M, Teh YW. Approximate inference in Boltzmann machines Artificial Intelligence. 143: 19-50. DOI: 10.1016/S0004-3702(02)00361-2  0.33
2003 Teh YW, Roweis S. Automatic alignment of local representations Advances in Neural Information Processing Systems.  0.592
2001 Teh YW, Hinton GE. Rate-coded restricted boltzmann machines for face recognition Advances in Neural Information Processing Systems.  0.456
2000 Hinton GE, Ghahramani Z, Teh YW. Learning to parse images Advances in Neural Information Processing Systems. 463-469.  0.618
Low-probability matches (unlikely to be authored by this person)
2015 Favaro S, Nipoti B, Teh YW. Rediscovery of good-turing estimators via Bayesian nonparametrics. Biometrics. PMID 26224325 DOI: 10.1111/Biom.12366  0.294
2015 Deshwar AG, Boyles L, Wintersinger J, Boutros PC, Teh YW, Morris Q. Abstract B2-59: PhyloSpan: Using multi-mutation reads to resolve subclonal architectures from heterogeneous tumor samples Cancer Research. 75: 4865-4865. DOI: 10.1158/1538-7445.Compsysbio-B2-59  0.28
2017 Arbel J, Favaro S, Nipoti B, Teh YW. Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics Statistica Sinica. 27: 839-858. DOI: 10.5705/Ss.202015.0250  0.265
2013 Lakshminarayanan B, Roy DM, Teh YW. Top-down particle filtering for Bayesian decision trees 30th International Conference On Machine Learning, Icml 2013. 1317-1325.  0.261
2009 Rao V, Teh YW. Spatial normalized gamma processes Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1554-1562.  0.256
2012 Mnih A, Teh YW. Learning label trees for probabilistic modelling of implicit feedback Advances in Neural Information Processing Systems. 4: 2816-2824.  0.253
2015 Favaro S, Nipoti B, Teh YW. Random variate generation for Laguerre-type exponentially tilted α-stable distributions Electronic Journal of Statistics. 9: 1230-1242. DOI: 10.1214/15-Ejs1033  0.253
2015 Lomelí M, Favaro S, Teh YW. A hybrid sampler for Poisson-Kingman mixture models Advances in Neural Information Processing Systems. 2015: 2161-2169.  0.252
2015 Moreno PG, Artes-Rodríguez A, Teh YW, Perez-Cruz F. Bayesian nonparametric crowdsourcing Journal of Machine Learning Research. 16: 1607-1627.  0.243
2013 Rao V, Teh YW. Fast MCMC sampling for Markov jump processes and extensions Journal of Machine Learning Research. 14: 3295-3320.  0.243
2007 Kurihara K, Welling M, Teh YW. Collapsed variational dirichlet process mixture models Ijcai International Joint Conference On Artificial Intelligence. 2796-2801.  0.239
2012 Mnih A, Teh YW. A fast and simple algorithm for training neural probabilistic language models Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1751-1758.  0.238
2011 Rao V, Teh YW. Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks Proceedings of the 27th Conference On Uncertainty in Artificial Intelligence, Uai 2011. 619-626.  0.238
2011 Teh YW, Blundell C, Elliott LT. Modelling genetic variations with fragmentation-coagulation processes Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011.  0.237
2011 Silva R, Blundell C, Teh YW. Mixed cumulative distribution networks Journal of Machine Learning Research. 15: 670-678.  0.236
2007 Teh YW, Newman D, Welling M. A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation Advances in Neural Information Processing Systems. 1353-1360.  0.23
2017 Flaxman S, Teh YW, Sejdinovic D. Poisson intensity estimation with reproducing kernels Electronic Journal of Statistics. 11: 5081-5104. DOI: 10.1214/17-Ejs1339Si  0.225
2009 Wood F, Archambeav C, Gasthaus J, James L, Teh YW. A stochastic memoizer for sequence data Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1129-1136. DOI: 10.1145/1553374.1553518  0.223
2016 Teh YW, Thiery AH, Vollmer SJ. Consistency and fluctuations for stochastic gradient Langevin dynamics Journal of Machine Learning Research. 17.  0.214
2020 Wang Q, Rao V, Teh YW. An Exact Auxiliary Variable Gibbs Sampler for a Class of Diffusions Journal of Computational and Graphical Statistics. 1-34. DOI: 10.1080/10618600.2020.1816177  0.212
2015 Deshwar AG, Boyles L, Wintersinger J, Boutros PC, Teh YW, Morris Q. Abstract 4865: PhyloSpan: using multi-mutation reads to resolve subclonal architectures from heterogeneous tumor samples Molecular and Cellular Biology. DOI: 10.1158/1538-7445.Am2015-4865  0.208
2012 Caron F, Teh YW. Bayesian nonparametric models for ranked data Advances in Neural Information Processing Systems. 2: 1520-1528.  0.207
2007 Lahsasna A, Ainon RN, Teh YW. Intelligent credit risk evaluation system using evolutionary-neuro-fuzzy scheme 2007 International Conference On Intelligent and Advanced Systems, Icias 2007. 37-42. DOI: 10.1109/ICIAS.2007.4658344  0.205
2011 Welling M, Teh YW. Bayesian learning via stochastic gradient langevin dynamics Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 681-688.  0.203
2008 Welling M, Teh YW, Kappen B. Hybrid variational/Gibbs collapsed inference in topic models Proceedings of the 24th Conference On Uncertainty in Artificial Intelligence, Uai 2008. 587-594.  0.201
2009 Teh YW, Kurihara K, Welling M. Collapsed variational inference for HDP Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.2
2016 Elliott LT, Teh YW. A nonparametric HMM for genetic imputation and coalescent inference Electronic Journal of Statistics. 10: 3425-3451. DOI: 10.1214/16-Ejs1197  0.199
2013 Chen C, Rao V, Buntine W, Teh Y. Dependent normalized random measures 30th International Conference On Machine Learning, Icml 2013. 2006-2014.  0.193
2022 Nicholson G, Blangiardo M, Briers M, Diggle PJ, Fjelde TE, Ge H, Goudie RJB, Jersakova R, King RE, Lehmann BCL, Mallon AM, Padellini T, Teh YW, Holmes C, Richardson S. Interoperability of statistical models in pandemic preparedness: principles and reality. Statistical Science : a Review Journal of the Institute of Mathematical Statistics. 37: 183-206. PMID 35664221 DOI: 10.1214/22-STS854  0.192
2012 Elliott LT, Teh YW. Scalable imputation of genetic data with a discrete fragmentation- coagulation process Advances in Neural Information Processing Systems. 4: 2852-2860.  0.189
2006 Teh YW. A hierarchical Bayesian language model based on Pitman-Yor processes Coling/Acl 2006 - 21st International Conference On Computational Linguistics and 44th Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 1: 985-992.  0.186
2002 Teh YW, Welling M. The unified propagation and scaling algorithm Advances in Neural Information Processing Systems.  0.186
2009 Roy DM, Teh YW. The Mondrian process Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1377-1384.  0.185
2004 Welling M, Teh YW. Linear response for approximate inference Advances in Neural Information Processing Systems.  0.182
2014 Xu M, Lakshminarayanan B, Teh YW, Zhu J, Zhang B. Distributed Bayesian posterior sampling via moment sharing Advances in Neural Information Processing Systems. 4: 3356-3364.  0.18
2011 Rao V, Teh YW. Gaussian process modulated renewal processes Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011.  0.177
2010 Blundell C, Teh YW, Heller KA. Bayesian rose trees Proceedings of the 26th Conference On Uncertainty in Artificial Intelligence, Uai 2010. 65-72.  0.177
2011 Teh YW. Bayesian tools for natural language learning invited talk Conll 2011 - Fifteenth Conference On Computational Natural Language Learning, Proceedings of the Conference. 219.  0.172
2007 Cai JF, Lee WS, Teh YW. Improving word sense disambiguation using topic features Emnlp-Conll 2007 - Proceedings of the 2007 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning. 1015-1023.  0.171
2009 Haffari G, Teh YW. Hierarchical dirichlet trees for information retrieval Naacl Hlt 2009 - Human Language Technologies: the 2009 Annual Conference of the North American Chapter of the Association For Computational Linguistics, Proceedings of the Conference. 173-181.  0.167
2009 Chieu HL, Lee WS, Teh YW. Cooled and relaxed survey propagation for MRFs Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.167
2013 Tan CH, Teh YW. Secure hardware performance analysis in virtualized cloud environment Mathematical Problems in Engineering. 2013. DOI: 10.1155/2013/685764  0.166
2015 Lienart T, Teh YW, Doucet A. Expectation particle belief propagation Advances in Neural Information Processing Systems. 2015: 3609-3617.  0.165
2016 Teh YW. Bayesian nonparametric modeling and the ubiquitous ewens sampling formula Statistical Science. 31: 34-36. DOI: 10.1214/15-STS540  0.163
2020 Schwessinger R, Gosden M, Downes D, Brown RC, Oudelaar AM, Telenius J, Teh YW, Lunter G, Hughes JR. DeepC: predicting 3D genome folding using megabase-scale transfer learning. Nature Methods. PMID 33046896 DOI: 10.1038/s41592-020-0960-3  0.154
2012 Rao V, Teh YW. MCMC for continuous-time discrete-state systems Advances in Neural Information Processing Systems. 1: 701-709.  0.152
2013 Tan CH, Teh YW. Harnessing cloud computing for dynamic resource requirement by database workloads Journal of Information Science and Engineering. 29: 793-810.  0.146
2013 Tan CH, Teh YW. Synthetic hardware performance analysis in virtualized cloud environment for healthcare organization. Journal of Medical Systems. 37: 9950. PMID 23709190 DOI: 10.1007/s10916-013-9950-7  0.145
2009 Wood F, Teh YW. A hierarchical nonparametric Bayesian approach to statistical language model domain adaptation Journal of Machine Learning Research. 5: 607-614.  0.142
2012 Alexe B, Heess N, Teh YW, Ferrari V. Searching for objects driven by context Advances in Neural Information Processing Systems. 2: 881-889.  0.141
2015 De Iorio M, Favaro S, Teh YW. Bayesian inference on population structure: From parametric to nonparametric modeling Nonparametric Bayesian Inference in Biostatistics. 135-152. DOI: 10.1007/978-3-319-19518-6_7  0.138
2013 Patterson S, Teh YW. Stochastic gradient Riemannian Langevin dynamics on the probability simplex Advances in Neural Information Processing Systems.  0.138
2009 Teh YW, Gorür D. Indian buffet processes with power-law behavior Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1838-1846.  0.138
2009 Teh YW, Daumé H, Roy D. Bayesian agglomerative clustering with coalescents Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.136
2014 Paige B, Wood F, Doucet A, Teh YW. Asynchronous anytime sequential Monte Carlo Advances in Neural Information Processing Systems. 4: 3410-3418.  0.134
2004 Teh YW, Zaitun AB. Data mining techniques in materialised project and selection view Lecture Notes in Computer Science. 3320: 34-37.  0.134
2014 Shamshirband S, Amini A, Anuar NB, Mat Kiah ML, Teh YW, Furnell S. D-FICCA: A density-based fuzzy imperialist competitive clustering algorithm for intrusion detection in wireless sensor networks Measurement: Journal of the International Measurement Confederation. 55: 212-226. DOI: 10.1016/j.measurement.2014.04.034  0.132
2005 Teh YW, Seeger M, Jordan MI. Semiparametric latent factor models Aistats 2005 - Proceedings of the 10th International Workshop On Artificial Intelligence and Statistics. 333-340.  0.132
2001 Teh YW, Zaitun AB, Lee SP. Data mining using classification techniques in query processing strategies Proceedings of Ieee/Acs International Conference On Computer Systems and Applications, Aiccsa. 2001: 200-202. DOI: 10.1109/AICCSA.2001.933977  0.124
2009 Quon G, Teh YW, Chan E, Hughes T, Brudno M, Morris Q. A mixture model for the evolution of gene expression in non-homogeneous datasets Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1297-1304.  0.124
2001 Teh YW, Zaitun AB, Lee SP. Adaptive query processing in e-commerce environment Proceedings of Ieee/Acs International Conference On Computer Systems and Applications, Aiccsa. 2001: 151-157. DOI: 10.1109/AICCSA.2001.933968  0.111
2001 Teh YW, Zaitun AB, Lee SP. Query processing in e-commerce enviroment using predictive partitioned relations Proceedings of the Ieee International Conference On Systems, Man and Cybernetics. 5: 3309-3314.  0.11
2006 Xing EP, Sohn KA, Jordan MI, Teh YW. Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture Acm International Conference Proceeding Series. 148: 1049-1056. DOI: 10.1145/1143844.1143976  0.106
2020 Brauner JM, Mindermann S, Sharma M, Johnston D, Salvatier J, Gavenčiak T, Stephenson AB, Leech G, Altman G, Mikulik V, Norman AJ, Monrad JT, Besiroglu T, Ge H, Hartwick MA, ... Teh YW, et al. Inferring the effectiveness of government interventions against COVID-19. Science (New York, N.Y.). PMID 33323424 DOI: 10.1126/science.abd9338  0.097
2014 Lakshminarayanan B, Roy DM, Teh YW. Mondrian forests: Efficient online random forests Advances in Neural Information Processing Systems. 4: 3140-3148.  0.095
2020 Tomašev N, Cornebise J, Hutter F, Mohamed S, Picciariello A, Connelly B, Belgrave DCM, Ezer D, Haert FCV, Mugisha F, Abila G, Arai H, Almiraat H, Proskurnia J, Snyder K, ... ... Teh YW, et al. AI for social good: unlocking the opportunity for positive impact. Nature Communications. 11: 2468. PMID 32424119 DOI: 10.1038/S41467-020-15871-Z  0.089
2009 Gasthaus J, Wood F, Görür D, Teh YW. Dependent Dirichlet process spike sorting Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 497-504.  0.084
2011 Blundell C, Teh YW, Heller KA. Discovering nonbinary hierarchical structures with Bayesian rose trees Mixtures: Estimation and Applications. 161-187. DOI: 10.1002/9781119995678.ch8  0.083
2004 Welling M, Rosen-Zvi M, Teh YW. Approximate inference by Markov chains on union spaces Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 847-854.  0.08
2004 Berg TL, Berg AC, Edwards J, Maire M, White R, Teh YW, Learned-Miller E, Forsyth DA. Names and faces in the news Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: II848-II854.  0.078
2014 Aghabozorgi S, Teh YW. Stock market co-movement assessment using a three-phase clustering method Expert Systems With Applications. 41: 1301-1314. DOI: 10.1016/j.eswa.2013.08.028  0.076
2020 Ng BJ, Putri LK, Kong XY, Teh YW, Pasbakhsh P, Chai SP. Z-Scheme Photocatalytic Systems for Solar Water Splitting. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). 7: 1903171. PMID 32274312 DOI: 10.1002/advs.201903171  0.074
2005 Teh YW, Jordan MI, Beal MJ, Blei DM. Sharing clusters among related groups: Hierarchical dirichlet processes Advances in Neural Information Processing Systems.  0.06
2005 Chan V, Rim K, Ieong M, Yang S, Malik R, Teh YW, Yang M, Ouyang Q. Strain for CMOS performance improvement Proceedings of the Custom Integrated Circuits Conference. 2005: 662-669. DOI: 10.1109/CICC.2005.1568758  0.058
2005 Lim KY, Chan V, Rengarajan R, Lee HK, Rovedo N, Lim EH, Yang S, Jamin F, Nguyen P, Lin W, Lai CW, Teh YW, Lee J, Kim L, Luo Z, et al. Interaction of middle-of-line (MOL) temperature and mechanical stress on 90nm hi-speed device performance and reliability Proceedings of Essderc 2005: 35th European Solid-State Device Research Conference. 2005: 415-418. DOI: 10.1109/ESSDER.2005.1546673  0.044
2022 Teh YW, Er CC, Kong XY, Ng BJ, Yong ST, Chai SP. Charge Modulation at Atomic-Level through Substitutional Sulfur Doping into Atomically Thin Bi2WO6 toward Promoting Photocatalytic CO2 Reduction. Chemsuschem. PMID 35447013 DOI: 10.1002/cssc.202200471  0.043
2006 Lim KY, Chan V, Rengarajan R, Lee HK, Rovedo N, Lim EH, Yang S, Jamin F, Nguyen P, Lin W, Lai CW, Teh YW, Lee J, Kim L, Luo Z, et al. A robust 45 nm gate-length CMOSFET for 90 nm Hi-speed technology Solid-State Electronics. 50: 579-586. DOI: 10.1016/j.sse.2006.03.031  0.043
2006 Teh YW, Sudijono J, Jain A, Venkataraman S, Thirupapuliyur S, Whitesell H. A novel high-stress pre-metal dielectric film to improve device performance for sub-65nm CMOS manufacturing Materials Research Society Symposium Proceedings. 913: 49-52.  0.042
2000 Teh YW, Wong TKS, Sudijono JL, See A. Effect of deposition conditions on the properties of HDP-CVD fluorinated silicon oxide (SiOF) Proceedings of Spie - the International Society For Optical Engineering. 4227: 103-111. DOI: 10.1117/12.405376  0.038
2006 Chen X, Fang S, Gao W, Dyer T, Teh YW, Tan SS, Ko Y, Baiocco C, Ajmera A, Park J, Kim J, Stierstorfer R, Chidambarrao D, Luo Z, Nivo N, et al. Stress proximity technique for performance improvement with dual stress liner at 45nm technology and beyond Digest of Technical Papers - Symposium On Vlsi Technology. 60-61.  0.035
2005 Welling M, Minka TP, Teh YW. Structured region graphs: Morphing EP into GBP Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 609-616.  0.029
2014 Zolhavarieh S, Aghabozorgi S, Teh YW. A review of subsequence time series clustering. Thescientificworldjournal. 2014: 312521. PMID 25140332 DOI: 10.1155/2014/312521  0.029
2008 Chen X, Samavedam S, Narayanan V, Stein K, Hobbs C, Baiocco C, Li W, Jaeger D, Zaleski M, Yang HS, Kim N, Lee Y, Zhang D, Kang L, Chen J, ... ... Teh YW, et al. A cost effective 32nm high-K/metal gate CMOS technology for low power applications with single-metal/gate-first process Digest of Technical Papers - Symposium On Vlsi Technology. 88-89. DOI: 10.1109/VLSIT.2008.4588573  0.022
2011 Hamaguchi M, Nair D, Jaeger D, Nishimura H, Li W, Na MH, Bernicot C, Liang J, Stahrenberg K, Kim K, Eller M, Lee KC, Iwamoto T, Teh YW, Mori S, et al. New layout dependency in high-k/metal gate MOSFETs Technical Digest - International Electron Devices Meeting, Iedm. 25.6.1-25.6.4. DOI: 10.1109/IEDM.2011.6131614  0.022
2010 Gasthaus J, Teh YW. Improvements to the sequence memoizer Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010.  0.02
2008 Yang HS, Wong R, Hasumi R, Gao Y, Kim NS, Lee DH, Badrudduza S, Nair D, Ostermayr M, Kang H, Zhuang H, Li J, Kang L, Chen X, Thean A, ... ... Teh YW, et al. Scaling of 32nm low power SRAM with high-K metal gate Technical Digest - International Electron Devices Meeting, Iedm. DOI: 10.1109/IEDM.2008.4796660  0.012
2015 Tiwari VA, Teh YW, Jaeger D, Divakaruni R, Nair DR. Effect of germanium preamorphization implant on performance and gate-induced drain leakage in SiGe channel pFET Ieee Electron Device Letters. 36: 531-533. DOI: 10.1109/LED.2015.2424297  0.01
2010 Teh YW, Titterington M. Preface Journal of Machine Learning Research. 9.  0.01
2005 Steegen A, Mo R, Mann R, Sun MC, Eller M, Leake G, Vietzke D, Tilke A, Guarin F, Fischer A, Pompl T, Massey G, Vayshenker A, Tan WL, Ebert A, ... ... Teh YW, et al. 65nm CMOS technology for low power applications Technical Digest - International Electron Devices Meeting, Iedm. 2005: 64-67.  0.01
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