More from the Same Authors

• 2021 : Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks »
  Ginevra Carbone · Luca Bortolussi · Guido Sanguinetti
• 2023 Poster: Attacks on Online Learners: a Teacher-Student Analysis »
  Riccardo Giuseppe Margiotta · Sebastian Goldt · Guido Sanguinetti
• 2020 Poster: Robustness of Bayesian Neural Networks to Gradient-Based Attacks »
  Ginevra Carbone · Matthew Wicker · Luca Laurenti · Andrea Patane' · Luca Bortolussi · Guido Sanguinetti
• 2018 : Research Panel »
  Sinead Williamson · Barbara Engelhardt · Tom Griffiths · Neil Lawrence · Hanna Wallach
• 2017 : Neil Lawrence, Francis Bach and François Laviolette »
  Neil Lawrence · Francis Bach · Francois Laviolette
• 2017 : Panel Session »
  Neil Lawrence · Finale Doshi-Velez · Zoubin Ghahramani · Yann LeCun · Max Welling · Yee Whye Teh · Ole Winther
• 2017 Tutorial: Deep Probabilistic Modelling with Gaussian Processes »
  Neil D Lawrence
• 2015 Workshop: Advances in Approximate Bayesian Inference »
  Dustin Tran · Tamara Broderick · Stephan Mandt · James McInerney · Shakir Mohamed · Alp Kucukelbir · Matthew D. Hoffman · Neil Lawrence · David Blei
• 2014 Workshop: ABC in Montreal »
  Max Welling · Neil D Lawrence · Richard D Wilkinson · Ted Meeds · Christian X Robert
• 2013 Workshop: Probabilistic Models for Big Data »
  Neil D Lawrence · Joaquin Quiñonero-Candela · Tianshi Gao · James Hensman · Zoubin Ghahramani · Max Welling · David Blei · Ralf Herbrich
• 2013 Poster: Approximate inference in latent Gaussian-Markov models from continuous time observations »
  Botond Cseke · Manfred Opper · Guido Sanguinetti
• 2013 Spotlight: Approximate inference in latent Gaussian-Markov models from continuous time observations »
  Botond Cseke · Manfred Opper · Guido Sanguinetti
• 2013 Session: Oral Session 1 »
  Neil D Lawrence
• 2012 Poster: Fast Variational Inference in the Conjugate Exponential Family »
  James Hensman · Magnus Rattray · Neil D Lawrence
• 2011 Poster: Learning sparse inverse covariance matrices in the presence of confounders »
  Oliver Stegle · Christoph Lippert · Joris M Mooij · Neil D Lawrence · Karsten Borgwardt
• 2011 Poster: Inference in continuous time changepoint point models »
  Florian Stimberg · Manfred Opper · Guido Sanguinetti · Andreas Ruttor
• 2011 Poster: Variational Gaussian Process Dynamical Systems »
  Andreas Damianou · Michalis Titsias · Neil D Lawrence
• 2010 Placeholder: Opening Remarks »
  Terrence Sejnowski · Neil D Lawrence
• 2010 Spotlight: Switched Latent Force Models for Movement Segmentation »
  Mauricio A Alvarez · Jan Peters · Bernhard Schölkopf · Neil D Lawrence
• 2010 Poster: Approximate inference in continuous time Gaussian-Jump processes »
  Manfred Opper · Andreas Ruttor · Guido Sanguinetti
• 2010 Poster: Switched Latent Force Models for Movement Segmentation »
  Mauricio A Alvarez · Jan Peters · Bernhard Schölkopf · Neil D Lawrence
• 2009 Workshop: Kernels for Multiple Outputs and Multi-task Learning: Frequentist and Bayesian Points of View »
  Mauricio A Alvarez · Lorenzo Rosasco · Neil D Lawrence
• 2008 Poster: Sparse Convolved Gaussian Processes for Multi-ouptut Regression »
  Mauricio A Alvarez · Neil D Lawrence
• 2008 Poster: Efficient Sampling for Gaussian Process Inference using Control Variables »
  Michalis Titsias · Neil D Lawrence · Magnus Rattray
• 2008 Spotlight: Efficient Sampling for Gaussian Process Inference using Control Variables »
  Michalis Titsias · Neil D Lawrence · Magnus Rattray
• 2008 Poster: Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes »
  Ben Calderhead · Mark A Girolami · Neil D Lawrence
• 2007 Workshop: Approximate Bayesian Inference in Continuous/Hybrid Models »
  Matthias Seeger · David Barber · Neil D Lawrence · Onno Zoeter
• 2007 Oral: A probabilistic model for generating realistic lip movements from speech »
  Gwenn Englebienne · Tim Cootes · Magnus Rattray
• 2007 Poster: A probabilistic model for generating realistic lip movements from speech »
  Gwenn Englebienne · Tim Cootes · Magnus Rattray
• 2007 Poster: Variational inference for Markov jump processes »
  Manfred Opper · Guido Sanguinetti
• 2006 Workshop: Learning when test and training inputs have different distributions »
  Joaquin Quiñonero-Candela · Masashi Sugiyama · Anton Schwaighofer · Neil D Lawrence