Konstantinos Bousmalis

According to our database, Konstantinos Bousmalis authored at least 29 papers between 2004 and 2024.

Collaborative distances:

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

2024

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauzá Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

Trans. Mach. Learn. Res., 2024

DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots.

Maria Bauzá, José Enrique Chen, Valentin Dalibard, Nimrod Gileadi, Roland Hafner, Murilo F. Martins, Joss Moore, Rugile Pevceviciute, Antoine Laurens, Dushyant Rao, Martina Zambelli, Martin A. Riedmiller, Jon Scholz, Konstantinos Bousmalis, Francesco Nori, Nicolas Heess

CoRR, 2024

2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

CoRR, 2023

2022

How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation.

Alex X. Lee, Coline Devin, Jost Tobias Springenberg, Yuxiang Zhou, Thomas Lampe, Abbas Abdolmaleki, Konstantinos Bousmalis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner.

Philémon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

On Multi-objective Policy Optimization as a Tool for Reinforcement Learning.

Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva TB, Arunkumar Byravan, Konstantinos Bousmalis, András György, Csaba Szepesvári, Raia Hadsell, Nicolas Heess, Martin A. Riedmiller

CoRR, 2021

Manipulator-Independent Representations for Visual Imitation.

Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes.

Alex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, José Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach.

Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic

IEEE Trans. Image Process., 2020

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation.

Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.

Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy

Proceedings of the Domain Adaptation for Visual Understanding, 2020

2019

Off-Policy Evaluation via Off-Policy Classification.

Alexander Irpan, Kanishka Rao, Konstantinos Bousmalis, Chris Harris, Julian Ibarz, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks.

Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping.

Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

A Deep Matrix Factorization Method for Learning Attribute Representations.

George Trigeorgis, Konstantinos Bousmalis, Stefanos Zafeiriou, Björn W. Schuller

IEEE Trans. Pattern Anal. Mach. Intell., 2017

XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings.

Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy

CoRR, 2017

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks.

Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Domain Separation Networks.

Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan

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

2015

Variational Infinite Hidden Conditional Random Fields.

Konstantinos Bousmalis, Stefanos Zafeiriou, Louis-Philippe Morency, Maja Pantic, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014

Infinite hidden conditional random fields for the recognition of human behaviour.

Konstantinos Bousmalis

PhD thesis, 2014

A Deep Semi-NMF Model for Learning Hidden Representations.

George Trigeorgis, Konstantinos Bousmalis, Stefanos Zafeiriou, Björn W. Schuller

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Infinite Hidden Conditional Random Fields for Human Behavior Analysis.

Konstantinos Bousmalis, Stefanos Zafeiriou, Louis-Philippe Morency, Maja Pantic

IEEE Trans. Neural Networks Learn. Syst., 2013

Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools.

Konstantinos Bousmalis, Marc Mehu, Maja Pantic

Image Vis. Comput., 2013

Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures.

Konstantinos Bousmalis, Stefanos Zafeiriou, Louis-Philippe Morency, Maja Pantic, Zoubin Ghahramani

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2011

Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition.

Konstantinos Bousmalis, Louis-Philippe Morency, Maja Pantic

Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

2009

Spotting agreement and disagreement: A survey of nonverbal audiovisual cues and tools.

Konstantinos Bousmalis, Marc Mehu, Maja Pantic

Proceedings of the Affective Computing and Intelligent Interaction, 2009

2008

Improving Evolutionary Algorithms with Scouting: High-Dimensional Problems.

Konstantinos Bousmalis, Jeffrey O. Pfaffmann, Gillian M. Hayes

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007

Improving Evolutionary Algorithms with Scouting.

Konstantinos Bousmalis, Gillian M. Hayes, Jeffrey O. Pfaffmann

Proceedings of the Progress in Artificial Intelligence, 2007

2004

A scouting-inspired evolutionary algorithm.

Jeffrey O. Pfaffmann, Konstantinos Bousmalis, Silvano Colombano

Proceedings of the IEEE Congress on Evolutionary Computation, 2004