Publications

This page lists the various papers and tech reports that I have been involved with, organized chronologically. If you’re looking for something specific I’ve written then this is the place to find it, but if you want an overview of what I’ve worked on then the projects page is a better choice.

You can also check my Google Scholar profile.

2024

• Misha Denil. Rapid Object Annotation. Technical Report, Google Deepmind, 2024. [arXiv] [bibtex]

  @techreport{Denil2024a,
      author = "Denil, Misha",
      title = "Rapid Object Annotation",
      year = "2024",
      institution = "Google Deepmind",
      arxiv = "https://arxiv.org/abs/2407.18682"
  }
  

• Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Tom Le Paine, Yutian Chen, and Misha Denil. 𝜋2vec: Policy Representations with Successor Features. In International Conference on Learning Representations. 2024. [arXiv] [paper] [bibtex]

  @inproceedings{Scarpellini2024a,
      author = "Scarpellini, Gianluca and Konyushkova, Ksenia and Fantacci, Claudio and Paine, Tom Le and Chen, Yutian and Denil, Misha",
      title = "𝜋2vec: Policy Representations with Successor Features",
      year = "2024",
      booktitle = "International Conference on Learning Representations",
      arxiv = "https://arxiv.org/abs/2306.09800",
      pdf = "https://openreview.net/forum?id=o5Bqa4o5Mi"
  }
  

2023

• Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X Lee, Maria Bauza, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Żołna, Scott Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Tom Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, and Nicolas Heess. RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. Transactions on Machine Learning Research, 2023. [arXiv] [paper] [site] [bibtex]

  @article{Bousmalis2023a,
      author = "Bousmalis, Konstantinos and Vezzani, Giulia and Rao, Dushyant and Devin, Coline and Lee, Alex X and Bauza, Maria and Davchev, Todor and Zhou, Yuxiang and Gupta, Agrim and Raju, Akhil and Laurens, Antoine and Fantacci, Claudio and Dalibard, Valentin and Zambelli, Martina and Martins, Murilo and Pevceviciute, Rugile and Blokzijl, Michiel and Denil, Misha and Batchelor, Nathan and Lampe, Thomas and Parisotto, Emilio and Żołna, Konrad and Reed, Scott and Colmenarejo, Sergio Gómez and Scholz, Jon and Abdolmaleki, Abbas and Groth, Oliver and Regli, Jean-Baptiste and Sushkov, Oleg and Rothörl, Tom and Chen, José Enrique and Aytar, Yusuf and Barker, Dave and Ortiz, Joy and Riedmiller, Martin and Springenberg, Jost Tobias and Hadsell, Raia and Nori, Francesco and Heess, Nicolas",
      title = "RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation",
      year = "2023",
      journal = "Transactions on Machine Learning Research",
      arxiv = "https://arxiv.org/abs/2306.11706",
      site = "https://deepmind.google/discover/blog/robocat-a-self-improving-robotic-agent/",
      pdf = "https://openreview.net/forum?id=vsCpILiWHu"
  }
  

• Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, and Serkan Cabi. Vision-language models as success detectors. In Conference on Lifelong Learning Agents. 2023. [arXiv] [paper] [bibtex]

  @inproceedings{Du2023a,
      author = "Du, Yuqing and Konyushkova, Ksenia and Denil, Misha and Raju, Akhil and Landon, Jessica and Hill, Felix and de Freitas, Nando and Cabi, Serkan",
      title = "Vision-language models as success detectors",
      year = "2023",
      booktitle = "Conference on Lifelong Learning Agents",
      arxiv = "https://arxiv.org/abs/2303.07280",
      pdf = "https://proceedings.mlr.press/v232/du23b.html"
  }
  

2021

• Brendan Shillingford, Yannis Assael, and Misha Denil. Interactive decoding of words from visual speech recognition models. Technical Report, Deepmind, 2021. [arXiv] [bibtex]

  @techreport{Shillingford2021a,
      author = "Shillingford, Brendan and Assael, Yannis and Denil, Misha",
      title = "Interactive decoding of words from visual speech recognition models",
      year = "2021",
      institution = "Deepmind",
      arxiv = "https://arxiv.org/abs/2107.00692"
  }
  

• Ksenia Konyushkova, Yutian Chen, Tom Le Paine, Caglar Gulcehre, Cosmin Paduraru, Daniel J Mankowitz, Misha Denil, and Nando de Freitas. Active Offline Policy Selection. In Neural Information Processing Systems. 2021. [arXiv] [code] [site] [bibtex]

  @inproceedings{Konyushkova2021a,
      author = "Konyushkova, Ksenia and Chen, Yutian and Paine, Tom Le and Gulcehre, Caglar and Paduraru, Cosmin and Mankowitz, Daniel J and Denil, Misha and de Freitas, Nando",
      title = "Active Offline Policy Selection",
      booktitle = "Neural Information Processing Systems",
      year = "2021",
      arxiv = "https://arxiv.org/abs/2106.10251",
      code = "https://github.com/google-deepmind/active_ops",
      site = "https://deepmind.google/discover/blog/active-offline-policy-selection/"
  }
  

• Danfei Xu and Misha Denil. Positive-Unlabeled Reward Learning. In Conference on Robot Learning. 2021. [arXiv] [paper] [bibtex]

  @inproceedings{Xu2021a,
      author = "Xu, Danfei and Denil, Misha",
      title = "Positive-Unlabeled Reward Learning",
      year = "2021",
      booktitle = "Conference on Robot Learning",
      pdf = "https://proceedings.mlr.press/v155/xu21c.html",
      arxiv = "https://arxiv.org/abs/1911.00459"
  }
  

2020

• Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Caglar Gulcehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, and Scott Reed. Offline Learning from Demonstrations and Unlabeled Experience. Technical Report, Deepmind, 2020. [arXiv] [bibtex]

  @techreport{Zolna2020b,
      author = "Zolna, Konrad and Novikov, Alexander and Konyushkova, Ksenia and Gulcehre, Caglar and Wang, Ziyu and Aytar, Yusuf and Denil, Misha and de Freitas, Nando and Reed, Scott",
      title = "Offline Learning from Demonstrations and Unlabeled Experience",
      year = "2020",
      institution = "Deepmind",
      arxiv = "https://arxiv.org/abs/2011.13885"
  }
  

• Yi Yang, Brendan Shillingford, Yannis Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, and Nando de Freitas. Large-scale multilingual audio visual dubbing. In Computer Science, Linguistics. 2020. [arXiv] [bibtex]

  @inproceedings{Yang2020a,
      author = "Yang, Yi and Shillingford, Brendan and Assael, Yannis and Wang, Miaosen and Liu, Wendi and Chen, Yutian and Zhang, Yu and Sezener, Eren and Cobo, Luis C. and Denil, Misha and Aytar, Yusuf and de Freitas, Nando",
      title = "Large-scale multilingual audio visual dubbing",
      year = "2020",
      booktitle = "Computer Science, Linguistics",
      arxiv = "https://arxiv.org/abs/2011.03530"
  }
  

• Konrad Żołna, Scott Reed, Alexander Novikov, Sergio Gómez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, and Ziyu Wang. Task-Relevant Adversarial Imitation Learning. In Conference on Robot Learning. 2020. [arXiv] [paper] [bibtex]

  @inproceedings{Zolna2020a,
      author = "Żołna, Konrad and Reed, Scott and Novikov, Alexander and Colmenarejo, Sergio Gómez and Budden, David and Cabi, Serkan and Denil, Misha and de Freitas, Nando and Wang, Ziyu",
      title = "Task-Relevant Adversarial Imitation Learning",
      year = "2020",
      booktitle = "Conference on Robot Learning",
      pdf = "https://proceedings.mlr.press/v155/zolna21a.html",
      arxiv = "https://arxiv.org/abs/1910.01077"
  }
  

• Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad Żołna, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, and Ziyu Wang. Scaling data-driven robotics with reward sketching and batch reinforcement learning. In Robotics, Science and Systems. 2020. [arXiv] [paper] [code] [site] [bibtex]

  @inproceedings{Cabi2020a,
      author = "Cabi, Serkan and Colmenarejo, Sergio Gómez and Novikov, Alexander and Konyushkova, Ksenia and Reed, Scott and Jeong, Rae and Żołna, Konrad and Aytar, Yusuf and Budden, David and Vecerik, Mel and Sushkov, Oleg and Barker, David and Scholz, Jonathan and Denil, Misha and de Freitas, Nando and Wang, Ziyu",
      title = "Scaling data-driven robotics with reward sketching and batch reinforcement learning",
      booktitle = "Robotics, Science and Systems",
      year = "2020",
      arxiv = "https://arxiv.org/abs/1909.12200",
      pdf = "https://roboticsconference.org/2020/program/papers/76.html",
      site = "https://sites.google.com/view/data-driven-robotics/",
      code = "https://github.com/google-deepmind/deepmind-research/tree/master/sketchy"
  }
  

• Caglar Gulcehre, Tom Le Paine, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, and The Worlds Team. Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. In International Conference on Learning Representations. 2020. [arXiv] [paper] [site] [bibtex]

  @inproceedings{Gulcehre2020a,
      author = "Gulcehre, Caglar and Paine, Tom Le and Shahriari, Bobak and Denil, Misha and Hoffman, Matt and Soyer, Hubert and Tanburn, Richard and Kapturowski, Steven and Rabinowitz, Neil and Williams, Duncan and Barth-Maron, Gabriel and Wang, Ziyu and de Freitas, Nando and Team, The Worlds",
      title = "Making Efficient Use of Demonstrations to Solve Hard Exploration Problems",
      booktitle = "International Conference on Learning Representations",
      year = "2020",
      arxiv = "https://arxiv.org/abs/1909.01387",
      pdf = "https://openreview.net/forum?id=SygKyeHKDH",
      site = "https://deepmind.google/discover/blog/making-efficient-use-of-demonstrations-to-solve-hard-exploration-problems/"
  }
  

2019

• Caglar Gulcehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter Battaglia, Victor Bapst, David Raposo, Adam Santoro, and Nando de Freitas. Hyperbolic Attention Networks. In International Conference on Learning Representations. 2019. [arXiv] [paper] [bibtex]

  @inproceedings{Gulcehre2019a,
      author = "Gulcehre, Caglar and Denil, Misha and Malinowski, Mateusz and Razavi, Ali and Pascanu, Razvan and Hermann, Karl Moritz and Battaglia, Peter and Bapst, Victor and Raposo, David and Santoro, Adam and de Freitas, Nando",
      title = "Hyperbolic Attention Networks",
      booktitle = "International Conference on Learning Representations",
      year = "2019",
      pdf = "https://openreview.net/forum?id=rJxHsjRqFQ",
      arxiv = "https://arxiv.org/abs/1805.09786"
  }
  

2018

• Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gómez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, and Misha Denil. Learning Awareness Models. In International Conference on Learning Representations. 2018. [arXiv] [paper] [bibtex]

  @inproceedings{Amos2018a,
      author = "Amos, Brandon and Dinh, Laurent and Cabi, Serkan and Rothörl, Thomas and Colmenarejo, Sergio Gómez and Muldal, Alistair and Erez, Tom and Tassa, Yuval and de Freitas, Nando and Denil, Misha",
      title = "Learning Awareness Models",
      booktitle = "International Conference on Learning Representations",
      year = "2018",
      pdf = "https://openreview.net/forum?id=r1HhRfWRZ",
      arxiv = "https://arxiv.org/abs/1804.06318"
  }
  

2017

• Serkan Cabi, Sergio Gómez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, and Nando de Freitas. The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. In Conference on Robot Learning. 2017. [arXiv] [paper] [bibtex]

  @inproceedings{Cabi2017a,
      author = "Cabi, Serkan and Colmenarejo, Sergio Gómez and Hoffman, Matthew W. and Denil, Misha and Wang, Ziyu and de Freitas, Nando",
      title = "The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously",
      booktitle = "Conference on Robot Learning",
      year = "2017",
      pdf = "http://proceedings.mlr.press/v78/cabi17a/cabi17a.pdf",
      arxiv = "https://arxiv.org/abs/1707.03300"
  }
  

• Misha Denil, Sergio Gómez Colmenarejo, Serkan Cabi, David Saxton, and Nando de Freitas. Programmable Agents. Technical Report, Deepmind, 2017. [arXiv] [bibtex]

  @techreport{Denil2017b,
      author = "Denil, Misha and Colmenarejo, Sergio Gómez and Cabi, Serkan and Saxton, David and de Freitas, Nando",
      title = "Programmable Agents",
      institution = "Deepmind",
      year = "2017",
      arxiv = "https://arxiv.org/abs/1706.06383"
  }
  

• Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Nando de Freitas, and Jascha Sohl-Dickstein. Learned Optimizers that Scale and Generalize. In International Conference on Machine Learning. 2017. [arXiv] [project] [bibtex]

  @inproceedings{Wichrowska2017a,
      author = "Wichrowska, Olga and Maheswaranathan, Niru and Hoffman, Matthew W. and Colmenarejo, Sergio Gómez and Denil, Misha and de Freitas, Nando and Sohl-Dickstein, Jascha",
      title = "Learned Optimizers that Scale and Generalize",
      year = "2017",
      booktitle = "International Conference on Machine Learning",
      project = "learning-to-learn",
      arxiv = "https://arxiv.org/abs/1703.04813"
  }
  

• Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Timothy P. Lillicrap, and Nando de Freitas. Learning to Learn for Global Optimization of Black Box Functions. In International Conference on Machine Learning. 2017. [arXiv] [project] [bibtex]

  @inproceedings{Chen2017a,
      author = "Chen, Yutian and Hoffman, Matthew W. and Colmenarejo, Sergio Gómez and Denil, Misha and Lillicrap, Timothy P. and de Freitas, Nando",
      title = "Learning to Learn for Global Optimization of Black Box Functions",
      year = "2017",
      booktitle = "International Conference on Machine Learning",
      project = "learning-to-learn",
      arxiv = "https://arxiv.org/abs/1611.03824"
  }
  

• Misha Denil, Pulkit Agrawal, Tejas D Kulkarni, Tom Erez, Peter Battaglia, and Nando de Freitas. Learning to Perform Physics Experiments via Deep Reinforcement Learning. In International Conference on Learning Representations. 2017. [arXiv] [paper] [project] [bibtex]

  @inproceedings{Denil2017a,
      author = "Denil, Misha and Agrawal, Pulkit and Kulkarni, Tejas D and Erez, Tom and Battaglia, Peter and de Freitas, Nando",
      title = "Learning to Perform Physics Experiments via Deep Reinforcement Learning",
      year = "2017",
      booktitle = "International Conference on Learning Representations",
      pdf = "http://openreview.net/forum?id=r1nTpv9eg",
      project = "learning-to-experiment",
      arxiv = "https://arxiv.org/abs/1611.01843"
  }
  

• Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, and Raia Hadsell. Learning to Navigate in Complex Environments. In International Conference on Learning Representations. 2017. [arXiv] [paper] [bibtex]

  @inproceedings{Mirowski2017a,
      author = "Mirowski, Piotr and Pascanu, Razvan and Viola, Fabio and Soyer, Hubert and Ballard, Andy and Banino, Andrea and Denil, Misha and Goroshin, Ross and Sifre, Laurent and Kavukcuoglu, Koray and Kumaran, Dharshan and Hadsell, Raia",
      title = "Learning to Navigate in Complex Environments",
      year = "2017",
      booktitle = "International Conference on Learning Representations",
      pdf = "http://openreview.net/forum?id=SJMGPrcle",
      arxiv = "https://arxiv.org/abs/1611.03673"
  }
  

2016

• Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Timothy P. Lillicrap, and Nando de Freitas. Learning to Learn for Global Optimization of Black Box Functions. In NIPS Deep Reinforcement Learning Workshop. 2016. [arXiv] [project] [bibtex]

  @inproceedings{Chen2016a,
      author = "Chen, Yutian and Hoffman, Matthew W. and Colmenarejo, Sergio Gómez and Denil, Misha and Lillicrap, Timothy P. and de Freitas, Nando",
      title = "Learning to Learn for Global Optimization of Black Box Functions",
      year = "2016",
      booktitle = "NIPS Deep Reinforcement Learning Workshop",
      project = "learning-to-learn",
      arxiv = "https://arxiv.org/abs/1611.03824v3"
  }
  

• Marcin Andrychowicz, Misha Denil, Sergio Gómez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, and Nando de Freitas. Learning to Learn by Gradient Descent by Gradient Descent. In Neural Information Processing Systems. 2016. [arXiv] [code] [project] [bibtex]

  @inproceedings{Andrychowicz2016a,
      author = "Andrychowicz, Marcin and Denil, Misha and Colmenarejo, Sergio Gómez and Hoffman, Matthew W. and Pfau, David and Schaul, Tom and de Freitas, Nando",
      title = "Learning to Learn by Gradient Descent by Gradient Descent",
      year = "2016",
      booktitle = "Neural Information Processing Systems",
      project = "learning-to-learn",
      arxiv = "https://arxiv.org/abs/1606.04474",
      code = "https://github.com/google-deepmind/learning-to-learn"
  }
  

• Caglar Gulcehre, Marcin Moczulski, Misha Denil, and Yoshua Bengio. Noisy Activation Functions. In International Conference on Machine Learning. 2016. [arXiv] [bibtex]

  @inproceedings{Gulcehre2016a,
      author = "Gulcehre, Caglar and Moczulski, Marcin and Denil, Misha and Bengio, Yoshua",
      title = "Noisy Activation Functions",
      year = "2016",
      arxiv = "http://arxiv.org/abs/1603.00391",
      booktitle = "International Conference on Machine Learning"
  }
  

• Marcin Moczulski, Misha Denil, Jeremy Appleyard, and Nando de Freitas. ACDC: A Structured Efficient Linear Layer. In International Conference on Learning Representations. 2016. [arXiv] [project] [bibtex]

  @inproceedings{Moczulski2015a,
      author = "Moczulski, Marcin and Denil, Misha and Appleyard, Jeremy and de Freitas, Nando",
      title = "ACDC: A Structured Efficient Linear Layer",
      year = "2016",
      arxiv = "http://arxiv.org/abs/1511.05946",
      booktitle = "International Conference on Learning Representations",
      project = "parameter-prediction"
  }
  

2015

• Dimitrios Kotzias, Misha Denil, Nando de Freitas, and Padhraic Smyth. From Group to Individual Labels using Deep Features. In ACM SIGKDD. 2015. [paper] [poster] [project] [bibtex]

  @inproceedings{Kotzias2015a,
      author = "Kotzias, Dimitrios and Denil, Misha and de Freitas, Nando and Smyth, Padhraic",
      title = "From Group to Individual Labels using Deep Features",
      year = "2015",
      booktitle = "ACM SIGKDD",
      project = "deep-nlp",
      pdf = "/static/papers/2015-deep-multi-instance-learning.pdf",
      poster = "2015-group-to-individual-labels-using-deep-features-poster.pdf"
  }
  

• Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alex Smola, Le Song, and Ziyu Wang. Deep Fried Convnets. In International Conference on Computer Vision. 2015. [arXiv] [project] [bibtex]

  @inproceedings{Yang2015a,
      author = "Yang, Zichao and Moczulski, Marcin and Denil, Misha and de Freitas, Nando and Smola, Alex and Song, Le and Wang, Ziyu",
      title = "Deep Fried Convnets",
      year = "2015",
      booktitle = "International Conference on Computer Vision",
      arxiv = "http://arxiv.org/abs/1412.7149",
      project = "parameter-prediction"
  }
  

2014

• Misha Denil, Alban Demiraj, and Nando de Freitas. Extraction of Salient Sentences from Labelled Documents. Technical Report, University of Oxford, 2014. [arXiv] [code] [project] [bibtex]

  @techreport{Denil2014b,
      author = "Denil, Misha and Demiraj, Alban and de Freitas, Nando",
      title = "Extraction of Salient Sentences from Labelled Documents",
      year = "2014",
      arxiv = "http://arxiv.org/abs/1412.6815",
      institution = "University of Oxford",
      code = "https://github.com/mdenil/txtnets",
      project = "deep-nlp"
  }
  

• Dimitrios Kotzias, Misha Denil, Phil Blunsom, and Nando de Freitas. Deep Multi-Instance Transfer Learning. In NIPS Deep Learning and Representation Workshop. 2014. [arXiv] [poster] [project] [bibtex]

  @inproceedings{Kotzias2014a,
      author = "Kotzias, Dimitrios and Denil, Misha and Blunsom, Phil and de Freitas, Nando",
      title = "Deep Multi-Instance Transfer Learning",
      year = "2014",
      arxiv = "http://arxiv.org/abs/1411.3128",
      booktitle = "NIPS Deep Learning and Representation Workshop",
      project = "deep-nlp",
      poster = "2014-midl_poster_nips.pdf"
  }
  

• Yariv Dror Mizrahi, Misha Denil, and Nando de Freitas. Distributed Parameter Estimation in Probabilistic Graphical Models. In Neural Information Processing Systems. 2014. [arXiv] [poster] [project] [bibtex]

  @inproceedings{Mizrahi2014b,
      author = "Mizrahi, Yariv Dror and Denil, Misha and de Freitas, Nando",
      title = "Distributed Parameter Estimation in Probabilistic Graphical Models",
      year = "2014",
      booktitle = "Neural Information Processing Systems",
      arxiv = "http://arxiv.org/abs/1406.3070",
      poster = "2014-lap-nips-poster.pdf",
      project = "lap"
  }
  

• Yariv Dror Mizrahi, Misha Denil, and Nando de Freitas. Linear and Parallel Learning of Markov Random Fields. In International Conference on Machine Learning. 2014. [arXiv] [project] [bibtex]

  @inproceedings{Mizrahi2014a,
      author = "Mizrahi, Yariv Dror and Denil, Misha and de Freitas, Nando",
      title = "Linear and Parallel Learning of Markov Random Fields",
      year = "2014",
      booktitle = "International Conference on Machine Learning",
      arxiv = "http://arxiv.org/abs/1308.6342",
      project = "lap"
  }
  

• Misha Denil, David Matheson, and Nando de Freitas. Narrowing the Gap: Random Forests In Theory and In Practice. In International Conference on Machine Learning. 2014. [arXiv] [paper] [poster] [project] [bibtex]

  @inproceedings{Denil2014a,
      author = "Denil, Misha and Matheson, David and de Freitas, Nando",
      title = "Narrowing the Gap: Random Forests In Theory and In Practice",
      year = "2014",
      booktitle = "International Conference on Machine Learning",
      poster = "2014-rf-theory-practice-icml-poster.pdf",
      arxiv = "http://arxiv.org/abs/1310.1415",
      pdf = "http://jmlr.org/proceedings/papers/v32/denil14.html",
      project = "random-forests"
  }
  

2013

• Misha Denil, Babak Shakibi, Laurent Dinh, Marc’Aurelio Ranzato, and Nando de Freitas. Predicting Parameters in Deep Learning. In Neural Information Processing Systems. 2013. [paper] [poster] [project] [bibtex]

  @inproceedings{Denil2013b,
      author = "Denil, Misha and Shakibi, Babak and Dinh, Laurent and Ranzato, Marc’Aurelio and de Freitas, Nando",
      title = "Predicting Parameters in Deep Learning",
      year = "2013",
      booktitle = "Neural Information Processing Systems",
      pdf = "http://papers.nips.cc/paper/5025-predicting-parameters-in-deep-learning",
      project = "parameter-prediction",
      poster = "2013-predicting-parameters-poster-mdenil.pdf"
  }
  

• Misha Denil, David Matheson, and Nando de Freitas. Consistency of Online Random Forests. In International Conference on Machine Learning. 2013. [arXiv] [paper] [poster] [project] [bibtex]

  @inproceedings{Denil2013a,
      author = "Denil, Misha and Matheson, David and de Freitas, Nando",
      title = "Consistency of Online Random Forests",
      year = "2013",
      booktitle = "International Conference on Machine Learning",
      arxiv = "http://arxiv.org/abs/1302.4853",
      poster = "2013-online_random_forests-icml-poster.pdf",
      pdf = "http://jmlr.org/proceedings/papers/v28/denil13.html",
      project = "random-forests"
  }
  

2012

• Misha Denil and Nando de Freitas. Recklessly Approximate Sparse Coding. Technical Report, University of British Columbia, 2012. [arXiv] [project] [bibtex]

  @techreport{Denil2012b,
      author = "Denil, Misha and de Freitas, Nando",
      title = "Recklessly Approximate Sparse Coding",
      institution = "University of British Columbia",
      year = "2012",
      arxiv = "http://arxiv.org/abs/1208.0959",
      project = "approximate-sparse-coding"
  }
  

• Misha Denil, Loris Bazzani, Hugo Larochelle, and Nando de Freitas. Learning where to Attend with Deep Architectures for Image Tracking. Neural Computation, 2012. [arXiv] [paper] [code] [project] [bibtex]

  @article{Denil2012a,
      author = "Denil, Misha and Bazzani, Loris and Larochelle, Hugo and de Freitas, Nando",
      title = "Learning where to Attend with Deep Architectures for Image Tracking",
      journal = "Neural Computation",
      year = "2012",
      arxiv = "http://arxiv.org/abs/1109.3737",
      pdf = "http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00312",
      code = "http://www.cs.ox.ac.uk/people/misha.denil/projects/gaze_selection_for_object_tracking/bayesopt_tracker_10-27-2011.tar.bz2",
      project = "gaze-selection"
  }
  

2011

• Misha Denil and Nando de Freitas. Toward the Implementation of a Quantum RBM. In NIPS Deep Learning and Unsupervised Feature Learning Workshop. 2011. [paper] [poster] [project] [bibtex]

  @inproceedings{Denil2011b,
      author = "Denil, Misha and de Freitas, Nando",
      title = "Toward the Implementation of a Quantum RBM",
      year = "2011",
      booktitle = "NIPS Deep Learning and Unsupervised Feature Learning Workshop",
      project = "quantum-deep-learning",
      poster = "2011-quantum-deep-learning-poster-mdenil.pdf",
      pdf = "/static/papers/2011-mdenil-quantum_deep_learning-nips_workshop.pdf"
  }
  

• Misha Denil and Thomas Trappenberg. A Characterization of the Combined Effects of Overlap and Imbalance on the SVM Classifier. Technical Report, Dalhousie University, 2011. [arXiv] [bibtex]

  @techreport{Denil2011a,
      author = "Denil, Misha and Trappenberg, Thomas",
      title = "A Characterization of the Combined Effects of Overlap and Imbalance on the SVM Classifier",
      institution = "Dalhousie University",
      year = "2011",
      arxiv = "http://arxiv.org/abs/1109.3532"
  }
  

2010

• Misha Denil and Thomas Trappenberg. Overlap versus Imbalance. In Canadian Conference on Artificial Intelligence. 2010. [paper] [bibtex]

  @inproceedings{Denil2010a,
      author = "Denil, Misha and Trappenberg, Thomas",
      title = "Overlap versus Imbalance",
      year = "2010",
      booktitle = "Canadian Conference on Artificial Intelligence",
      pdf = "/static/papers/2010-mdenil-tt-overlap_versus_imbalance-canadian_ai.pdf"
  }