Ulrich Paquet - RankMe

47 papers A* 11A 6B 2Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artificial intelligence for modelling infectious disease epidemics. Nat. Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova, Mengyan Zhang, H. Juliette T. Unwin, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Patricia Kingori, Michael J. Parker, Francesca Dominici, Nigel Shadbolt, Marc A. Suchard, Oliver Ratmann, Seth R. Flaxman, Edward C. Holmes, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Christl A. Donnelly, Oliver G. Pybus, Simon Cauchemez, Samir Bhatt
2025	—	`conf`	Correlating Variational Autoencoders Natively For Multi-View Imputation. UniReps Ella S. C. Orme, Marina Evangelou, Ulrich Paquet
2024	A*	`ed.`	Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. NeurIPS Amir Globersons, Lester Mackey, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub M. Tomczak, Cheng Zhang
2024	J	`jnl`	Correlating Variational Autoencoders Natively For Multi-View Imputation. CoRR Ella S. C. Orme, Marina Evangelou, Ulrich Paquet
2023	J	`jnl`	Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero. CoRR Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim
2022	J	`jnl`	Reimagining chess with AlphaZero. Commun. ACM Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik
2022	A*	`conf`	Role of Human-AI Interaction in Selective Prediction. AAAI Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2021	J	`jnl`	Acquisition of Chess Knowledge in AlphaZero. CoRR Thomas McGrath, Andrei Kapishnikov, Nenad Tomasev, Adam Pearce, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik
2021	J	`jnl`	Role of Human-AI Interaction in Selective Prediction. CoRR Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2020	J	`jnl`	Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess. CoRR Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik
2019	J	`jnl`	Unsupervised Separation of Dynamics from Pixels. CoRR Silvia Chiappa, Ulrich Paquet
2018	J	`jnl`	A Factorial Mixture Prior for Compositional Deep Generative Models. CoRR Ulrich Paquet, Sumedh K. Ghaisas, Olivier Tieleman
2018	J	`jnl`	An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models. CoRR Ulrich Paquet, Marco Fraccaro
2018	A*	`conf`	Recurrent Relational Networks. NeurIPS Rasmus Berg Palm, Ulrich Paquet, Ole Winther
2017	—	`conf`	A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. NIPS Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther
2017	J	`jnl`	A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. CoRR Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther
2017	A	`conf`	Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation. WSDM Shay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai
2017	A*	`conf`	Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. AAAI Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein
2017	A*	`conf`	Low-Rank Factorization of Determinantal Point Processes. AAAI Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2017	J	`jnl`	Recurrent Relational Networks for Complex Relational Reasoning. CoRR Rasmus Berg Palm, Ulrich Paquet, Ole Winther
2016	A	`conf`	Bayesian Low-Rank Determinantal Point Processes. RecSys Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2016	A*	`conf`	Beyond Collaborative Filtering: The List Recommendation Problem. WWW Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan
2016	A*	`conf`	Collective Noise Contrastive Estimation for Policy Transfer Learning. AAAI Weinan Zhang, Ulrich Paquet, Katja Hofmann
2016	A*	`conf`	Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search. AAAI Marco Fraccaro, Ulrich Paquet, Ole Winther
2016	J	`jnl`	Low-Rank Factorization of Determinantal Point Processes for Recommendation. CoRR Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2016	—	`conf`	Sequential Neural Models with Stochastic Layers. NIPS Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther
2016	J	`jnl`	Sequential Neural Models with Stochastic Layers. CoRR Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther
2016	J	`jnl`	The Bayesian Low-Rank Determinantal Point Process Mixture Model. CoRR Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2014	—	`conf`	A large-scale exploration of group viewing patterns. TVX Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet
2014	A	`conf`	Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces. RecSys Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet
2013	J	`jnl`	One-class Collaborative Filtering with Random Graphs: Annotated Version. CoRR Ulrich Paquet, Noam Koenigstein
2013	A*	`conf`	One-class collaborative filtering with random graphs. WWW Ulrich Paquet, Noam Koenigstein
2013	J	`jnl`	Perturbative corrections for approximate inference in Gaussian latent variable models. J. Mach. Learn. Res. Manfred Opper, Ulrich Paquet, Ole Winther
2013	A	`conf`	Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection. RecSys Noam Koenigstein, Ulrich Paquet
2012	J	`jnl`	A hierarchical model for ordinal matrix factorization. Stat. Comput. Ulrich Paquet, Blaise Thomson, Ole Winther
2012	A	`conf`	Collaborative learning of preference rankings. RecSys Tim Salimans, Ulrich Paquet, Thore Graepel
2012	A	`conf`	The Xbox recommender system. RecSys Noam Koenigstein, Nir Nice, Ulrich Paquet, Nir Schleyen
2012	A*	`conf`	Transparent user models for personalization. KDD Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael, Blaise Agüera y Arcas
2009	A*	`conf`	Convexity and Bayesian constrained local models. CVPR Ulrich Paquet
2009	J	`jnl`	Perturbation Corrections in Approximate Inference: Mixture Modelling Applications. J. Mach. Learn. Res. Ulrich Paquet, Ole Winther, Manfred Opper
2008	—	`conf`	Improving on Expectation Propagation. NIPS Manfred Opper, Ulrich Paquet, Ole Winther
2007	—	`—`	Bayesian inference for latent variable models. Ulrich Paquet
2007	J	`jnl`	Particle Swarms for Linearly Constrained Optimisation. Fundam. Informaticae Ulrich Paquet, Andries P. Engelbrecht
2005	—	`conf`	Bayesian Hierarchical Ordinal Regression. ICANN (2) Ulrich Paquet, Sean B. Holden, Andrew Naish-Guzman
2005	—	`conf`	On the Explicit Use of Example Weights in the Construction of Classifiers. ICANN (2) Andrew Naish-Guzman, Sean B. Holden, Ulrich Paquet
2003	B	`conf`	A new particle swarm optimiser for linearly constrained optimisation. IEEE Congress on Evolutionary Computation Ulrich Paquet, Andries P. Engelbrecht
2003	B	`conf`	Training support vector machines with particle swarms. IJCNN Ulrich Paquet, Andries Petrus Engelbrecht