Ulrich Paquet

According to our database, Ulrich Paquet authored at least 39 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero.

Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim

CoRR, 2023

2022

Reimagining chess with AlphaZero.

Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik

Commun. ACM, 2022

Role of Human-AI Interaction in Selective Prediction.

Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Acquisition of Chess Knowledge in AlphaZero.

Thomas McGrath, Andrei Kapishnikov, Nenad Tomasev, Adam Pearce, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik

CoRR, 2021

2020

Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess.

Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik

CoRR, 2020

2019

Unsupervised Separation of Dynamics from Pixels.

Silvia Chiappa, Ulrich Paquet

CoRR, 2019

2018

A Factorial Mixture Prior for Compositional Deep Generative Models.

Ulrich Paquet, Sumedh K. Ghaisas, Olivier Tieleman

CoRR, 2018

An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models.

Ulrich Paquet, Marco Fraccaro

CoRR, 2018

Recurrent Relational Networks.

Rasmus Berg Palm, Ulrich Paquet, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Recurrent Relational Networks for Complex Relational Reasoning.

Rasmus Berg Palm, Ulrich Paquet, Ole Winther

CoRR, 2017

Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation.

Shay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning.

Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem.

Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Low-Rank Factorization of Determinantal Point Processes.

Mike Gartrell, Ulrich Paquet, Noam Koenigstein

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

The Bayesian Low-Rank Determinantal Point Process Mixture Model.

Mike Gartrell, Ulrich Paquet, Noam Koenigstein

CoRR, 2016

Low-Rank Factorization of Determinantal Point Processes for Recommendation.

Mike Gartrell, Ulrich Paquet, Noam Koenigstein

CoRR, 2016

Beyond Collaborative Filtering: The List Recommendation Problem.

Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan

Proceedings of the 25th International Conference on World Wide Web, 2016

Bayesian Low-Rank Determinantal Point Processes.

Mike Gartrell, Ulrich Paquet, Noam Koenigstein

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Sequential Neural Models with Stochastic Layers.

Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Collective Noise Contrastive Estimation for Policy Transfer Learning.

Weinan Zhang, Ulrich Paquet, Katja Hofmann

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search.

Marco Fraccaro, Ulrich Paquet, Ole Winther

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

A large-scale exploration of group viewing patterns.

Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video, 2014

Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces.

Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013

Perturbative corrections for approximate inference in Gaussian latent variable models.

Manfred Opper, Ulrich Paquet, Ole Winther

J. Mach. Learn. Res., 2013

One-class Collaborative Filtering with Random Graphs: Annotated Version.

Ulrich Paquet, Noam Koenigstein

CoRR, 2013

One-class collaborative filtering with random graphs.

Ulrich Paquet, Noam Koenigstein

Proceedings of the 22nd International World Wide Web Conference, 2013

Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection.

Noam Koenigstein, Ulrich Paquet

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012

A hierarchical model for ordinal matrix factorization.

Ulrich Paquet, Blaise Thomson, Ole Winther

Stat. Comput., 2012

Collaborative learning of preference rankings.

Tim Salimans, Ulrich Paquet, Thore Graepel

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

The Xbox recommender system.

Noam Koenigstein, Nir Nice, Ulrich Paquet, Nir Schleyen

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Transparent user models for personalization.

Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael, Blaise Agüera y Arcas

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2009

Perturbation Corrections in Approximate Inference: Mixture Modelling Applications.

Ulrich Paquet, Ole Winther, Manfred Opper

J. Mach. Learn. Res., 2009

Convexity and Bayesian constrained local models.

Ulrich Paquet

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Improving on Expectation Propagation.

Manfred Opper, Ulrich Paquet, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Bayesian inference for latent variable models.

Ulrich Paquet

PhD thesis, 2007

Particle Swarms for Linearly Constrained Optimisation.

Ulrich Paquet, Andries P. Engelbrecht

Fundam. Informaticae, 2007

2005

Bayesian Hierarchical Ordinal Regression.

Ulrich Paquet, Sean B. Holden, Andrew Naish-Guzman

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

On the Explicit Use of Example Weights in the Construction of Classifiers.

Andrew Naish-Guzman, Sean B. Holden, Ulrich Paquet

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2003

A new particle swarm optimiser for linearly constrained optimisation.

Ulrich Paquet, Andries P. Engelbrecht

Proceedings of the IEEE Congress on Evolutionary Computation, 2003