Nando de Freitas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
65
Venues
19
Active years
2000–2024
Best venue rank
A*
Where they publish
Papers
65 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Genie: Generative Interactive Environments. | Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktschel |
| 2021 | ICLR | Learning Deep Features in Instrumental Variable Regression. | Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton |
| 2020 | CoRL | Task-Relevant Adversarial Imitation Learning. | Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gmez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang |
| 2020 | ICLR | Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. | aglar Glehre, Tom Le Paine, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team |
| 2019 | ICLR | Sample Efficient Adaptive Text-to-Speech. | Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, aglar Glehre, Aron van den Oord, Oriol Vinyals, Nando de Freitas |
| 2019 | ICLR | Hyperbolic Attention Networks. | aglar Glehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas |
| 2019 | ICML | Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. | Natasha Jaques, Angeliki Lazaridou, Edward Hughes, aglar Glehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas |
| 2019 | Interspeech | Large-Scale Visual Speech Recognition. | Brendan Shillingford, Yannis M. Assael, Matthew W. Hoffman, Thomas Paine, Can Hughes, Utsav Prabhu, Hank Liao, Hasim Sak, Kanishka Rao, Lorrayne Bennett, Marie Mulville, Misha Denil, Ben Coppin, Ben Laurie, Andrew W. Senior, Nando de Freitas |
| 2018 | ICLR | Learning Awareness Models. | Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothrl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil |
| 2018 | ICLR | Compositional Obverter Communication Learning from Raw Visual Input. | Edward Choi, Angeliki Lazaridou, Nando de Freitas |
| 2018 | ICLR | Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. | Scott E. Reed, Yutian Chen, Thomas Paine, Aron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas |
| 2017 | CoRL | The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. | Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas |
| 2017 | ICLR | Sample Efficient Actor-Critic with Experience Replay. | Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rmi Munos, Koray Kavukcuoglu, Nando de Freitas |
| 2017 | ICLR | Learning to Perform Physics Experiments via Deep Reinforcement Learning. | Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas |
| 2017 | ICML | Learning to Learn without Gradient Descent by Gradient Descent. | Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matthew M. Botvinick, Nando de Freitas |
| 2017 | ICML | Parallel Multiscale Autoregressive Density Estimation. | Scott E. Reed, Aron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas |
| 2017 | ICML | Learned Optimizers that Scale and Generalize. | Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Nando de Freitas, Jascha Sohl-Dickstein |
| 2016 | AISTATS | Unbounded Bayesian Optimization via Regularization. | Bobak Shahriari, Alexandre Bouchard-Ct, Nando de Freitas |
| 2016 | ICML | Dueling Network Architectures for Deep Reinforcement Learning. | Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas |
| 2016 | KDD | Learning to Learn and Compositionality with Deep Recurrent Neural Networks: Learning to Learn and Compositionality. | Nando de Freitas |
| 2015 | AAAI | Deep Apprenticeship Learning for Playing Video Games. | Miroslav Bogdanovic, Dejan Markovikj, Misha Denil, Nando de Freitas |
| 2015 | ICCV | Deep Fried Convnets. | Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang |
| 2015 | KDD | From Group to Individual Labels Using Deep Features. | Dimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth |
| 2014 | AISTATS | On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. | Matthew W. Hoffman, Bobak Shahriari, Nando de Freitas |
| 2014 | AISTATS | Bayesian Multi-Scale Optimistic Optimization. | Ziyu Wang, Babak Shakibi, Lin Jin, Nando de Freitas |
| 2014 | ICML | Narrowing the Gap: Random Forests In Theory and In Practice. | Misha Denil, David Matheson, Nando de Freitas |
| 2014 | ICML | Linear and Parallel Learning of Markov Random Fields. | Yariv Dror Mizrahi, Misha Denil, Nando de Freitas |
| 2014 | WACV | Bayesian Optimization with an Empirical Hardness Model for approximate Nearest Neighbour Search. | Julieta Martinez, James J. Little, Nando de Freitas |
| 2013 | ICML | Consistency of Online Random Forests. | Misha Denil, David Matheson, Nando de Freitas |
| 2013 | ICML | Adaptive Hamiltonian and Riemann Manifold Monte Carlo. | Ziyu Wang, Shakir Mohamed, Nando de Freitas |
| 2013 | IJCAI | Bayesian Optimization in High Dimensions via Random Embeddings. | Ziyu Wang, Masrour Zoghi, Frank Hutter, David Matheson, Nando de Freitas |
| 2012 | AAAI | Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults. | Michael A. Osborne, Roman Garnett, Kevin Swersky, Nando de Freitas |
| 2012 | DCC | A Machine Learning Perspective on Predictive Coding with PAQ8. | Byron Knoll, Nando de Freitas |
| 2012 | ICML | Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations. | Nando de Freitas, Alexander J. Smola, Masrour Zoghi |
| 2011 | ICML | Learning attentional policies for tracking and recognition in video with deep networks. | Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting |
| 2011 | ICML | On Autoencoders and Score Matching for Energy Based Models. | Kevin Swersky, Marc'Aurelio Ranzato, David Buchman, Benjamin M. Marlin, Nando de Freitas |
| 2011 | UAI | Portfolio Allocation for Bayesian Optimization. | Matthew Hoffman, Eric Brochu, Nando de Freitas |
| 2011 | UAI | Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood. | Benjamin M. Marlin, Nando de Freitas |
| 2010 | ITA | A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets. | Kevin Swersky, Bo Chen, Benjamin M. Marlin, Nando de Freitas |
| 2010 | UAI | Intracluster Moves for Constrained Discrete-Space MCMC. | Firas Hamze, Nando de Freitas |
| 2010 | SCA | A Bayesian Interactive Optimization Approach to Procedural Animation Design. | Eric Brochu, Tyson Brochu, Nando de Freitas |
| 2009 | IBPRIA | Inference and Learning for Active Sensing, Experimental Design and Control. | Hendrik Kck, Matt Hoffman, Arnaud Doucet, Nando de Freitas |
| 2009 | UAI | New inference strategies for solving Markov Decision Processes using reversible jump MCMC. | Matthias Hoffman, Hendrik Kck, Nando de Freitas, Arnaud Doucet |
| 2008 | ICRA | Target-directed attention: Sequential decision-making for gaze planning. | Julia Vogel, Nando de Freitas |
| 2007 | ICRA | Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM. | Ruben Martinez-Cantin, Nando de Freitas, Jos A. Castellanos |
| 2007 | SIGGRAPH | Preference galleries for material design. | Eric Brochu, Abhijeet Ghosh, Nando de Freitas |
| 2007 | UAI | Large-Flip Importance Sampling. | Firas Hamze, Nando de Freitas |
| 2006 | ECCV | Robust Visual Tracking for Multiple Targets. | Yizheng Cai, Nando de Freitas, James J. Little |
| 2006 | ICML | Fast particle smoothing: if I had a million particles. | Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang |
| 2005 | AISTATS | Fast maximum a-posteriori inference on Monte Carlo state spaces. | Mike Klaas, Dustin Lang, Nando de Freitas |
| 2005 | ICRA | Fast Computational Methods for Visually Guided Robots. | Maryam Mahdaviani, Nando de Freitas, Bob Fraser, Firas Hamze |
| 2005 | UAI | Nonparametric Bayesian Logic. | Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole |
| 2005 | UAI | Learning about Individuals from Group Statistics. | Nando de Freitas, Hendrik Kck |
| 2005 | UAI | Toward Practical N2 Monte Carlo: the Marginal Particle Filter. | Mike Klaas, Nando de Freitas, Arnaud Doucet |
| 2004 | ECCV | A Statistical Model for General Contextual Object Recognition. | Peter Carbonetto, Nando de Freitas, Kobus Barnard |
| 2004 | ECCV | A Constrained Semi-supervised Learning Approach to Data Association. | Hendrik Kck, Peter Carbonetto, Nando de Freitas |
| 2004 | ECCV | A Boosted Particle Filter: Multitarget Detection and Tracking. | Kenji Okuma, Ali Taleghani, Nando de Freitas, James J. Little, David G. Lowe |
| 2004 | UAI | From Fields to Trees. | Firas Hamze, Nando de Freitas |
| 2003 | AISTATS | The Sound of an Album Cover: A Probabilistic Approach to Multimedia. | Eric Brochu, Nando de Freitas, Kejie Bao |
| 2003 | AISTATS | Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition. | Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando de Freitas |
| 2003 | AISTATS | A Blessing of Dimensionality: Measure Concentration and Probabilistic Inference. | Pinar Muyan, Nando de Freitas |
| 2001 | UAI | Variational MCMC. | Nando de Freitas, Pedro A. d. F. R. Hjen-Srensen, Stuart Russell |
| 2000 | ICASSP | Sequential Monte Carlo for model selection and estimation of neural networks. | Christophe Andrieu, Nando de Freitas |
| 2000 | UAI | Reversible Jump MCMC Simulated Annealing for Neural Networks. | Christophe Andrieu, Nando de Freitas, Arnaud Doucet |
| 2000 | UAI | Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. | Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart Russell |