Ulrich Paquet

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 24

Top Venues

CoRR

AAAI

RecSys

NIPS

University of Cambridge, UK (PHD)

Education History

University of Cambridge, UK

PHD

Publications

Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero. CoRR (2023)
Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik
Reimagining chess with AlphaZero. Commun. ACM 65 (2) (2022)
Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
Role of Human-AI Interaction in Selective Prediction. AAAI (2022)
Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
Role of Human-AI Interaction in Selective Prediction. CoRR (2021)
Thomas McGrath, Andrei Kapishnikov, Nenad Tomasev, Adam Pearce, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik
Acquisition of Chess Knowledge in AlphaZero. CoRR (2021)
Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik
Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess. CoRR (2020)
Silvia Chiappa, Ulrich Paquet
Unsupervised Separation of Dynamics from Pixels. CoRR (2019)
Rasmus Berg Palm, Ulrich Paquet, Ole Winther
Recurrent Relational Networks. NeurIPS (2018)
Ulrich Paquet, Marco Fraccaro
An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models. CoRR (2018)
Ulrich Paquet, Sumedh K. Ghaisas, Olivier Tieleman
A Factorial Mixture Prior for Compositional Deep Generative Models. CoRR (2018)
Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. CoRR (2017)
Rasmus Berg Palm, Ulrich Paquet, Ole Winther
Recurrent Relational Networks for Complex Relational Reasoning. CoRR (2017)
Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein
Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. AAAI (2017)
Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. NIPS (2017)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Low-Rank Factorization of Determinantal Point Processes. AAAI (2017)
Shay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai
Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation. WSDM (2017)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Bayesian Low-Rank Determinantal Point Processes. RecSys (2016)
Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan
Beyond Collaborative Filtering: The List Recommendation Problem. WWW (2016)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
The Bayesian Low-Rank Determinantal Point Process Mixture Model. CoRR (2016)
Marco Fraccaro, Ulrich Paquet, Ole Winther
Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search. AAAI (2016)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Low-Rank Factorization of Determinantal Point Processes for Recommendation. CoRR (2016)
Weinan Zhang, Ulrich Paquet, Katja Hofmann
Collective Noise Contrastive Estimation for Policy Transfer Learning. AAAI (2016)
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther
Sequential Neural Models with Stochastic Layers. CoRR (2016)
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther
Sequential Neural Models with Stochastic Layers. NIPS (2016)
Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet
Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces. RecSys (2014)
Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet
A large-scale exploration of group viewing patterns. TVX (2014)
Noam Koenigstein, Ulrich Paquet
Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection. RecSys (2013)
Ulrich Paquet, Noam Koenigstein
One-class collaborative filtering with random graphs. WWW (2013)
Manfred Opper, Ulrich Paquet, Ole Winther
Perturbative corrections for approximate inference in Gaussian latent variable models. J. Mach. Learn. Res. 14 (1) (2013)
Ulrich Paquet, Noam Koenigstein
One-class Collaborative Filtering with Random Graphs: Annotated Version. CoRR (2013)
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael, Blaise Agüera y Arcas
Transparent user models for personalization. KDD (2012)
Tim Salimans, Ulrich Paquet, Thore Graepel
Collaborative learning of preference rankings. RecSys (2012)
Noam Koenigstein, Nir Nice, Ulrich Paquet, Nir Schleyen
The Xbox recommender system. RecSys (2012)
Ulrich Paquet, Blaise Thomson, Ole Winther
A hierarchical model for ordinal matrix factorization. Stat. Comput. 22 (4) (2012)
Ulrich Paquet
Convexity and Bayesian constrained local models. CVPR (2009)
Ulrich Paquet, Ole Winther, Manfred Opper
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications. J. Mach. Learn. Res. 10 (2009)
Manfred Opper, Ulrich Paquet, Ole Winther
Improving on Expectation Propagation. NIPS (2008)
Ulrich Paquet, Andries P. Engelbrecht
Particle Swarms for Linearly Constrained Optimisation. Fundam. Informaticae 76 (1-2) (2007)
Ulrich Paquet, Sean B. Holden, Andrew Naish-Guzman
Bayesian Hierarchical Ordinal Regression. ICANN (2) (2005)
Andrew Naish-Guzman, Sean B. Holden, Ulrich Paquet
On the Explicit Use of Example Weights in the Construction of Classifiers. ICANN (2) (2005)
Ulrich Paquet, Andries P. Engelbrecht
A new particle swarm optimiser for linearly constrained optimisation. IEEE Congress on Evolutionary Computation (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ulrich Paquet