A scouting-inspired evolutionary algorithm. - Jeffrey O. Pfaffmann; Konstantinos Bousmalis; Silvano Colombano (IEEE Congress on Evolutionary Computation, 2004)

Improving Evolutionary Algorithms with Scouting. - Konstantinos Bousmalis; Gillian M. Hayes; Jeffrey O. Pfaffmann (EPIA Workshops, 2007)

Improving Evolutionary Algorithms with Scouting: High-Dimensional Problems. - Konstantinos Bousmalis; Jeffrey O. Pfaffmann; Gillian M. Hayes (ICAISC, 2008)

Spotting agreement and disagreement: A survey of nonverbal audiovisual cues and tools. - Konstantinos Bousmalis; Marc Mehu; Maja Pantic (ACII, 2009)

Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition. - Konstantinos Bousmalis; Louis-Philippe Morency; Maja Pantic (FG, 2011)

Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures. - Konstantinos Bousmalis; Stefanos Zafeiriou; Louis-Philippe Morency; Maja Pantic; Zoubin Ghahramani (ECML/PKDD (2), 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)

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)

A Deep Semi-NMF Model for Learning Hidden Representations. - George Trigeorgis; Konstantinos Bousmalis; Stefanos Zafeiriou; Björn W. Schuller (ICML, 2014)

Infinite hidden conditional random fields for the recognition of human behaviour. - Konstantinos Bousmalis (2014)

Variational Infinite Hidden Conditional Random Fields. - Konstantinos Bousmalis; Stefanos Zafeiriou; Louis-Philippe Morency; Maja Pantic; Zoubin Ghahramani (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Domain Separation Networks. - Konstantinos Bousmalis; George Trigeorgis; Nathan Silberman; Dilip Krishnan; Dumitru Erhan (NIPS, 2016)

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. - Konstantinos Bousmalis; Nathan Silberman; David Dohan; Dumitru Erhan; Dilip Krishnan (CVPR, 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 002 (CoRR, 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)

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 (ICRA, 2018)

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 (CVPR, 2019)

Off-Policy Evaluation via Off-Policy Classification. - Alexander Irpan; Kanishka Rao; Konstantinos Bousmalis; Chris Harris 001; Julian Ibarz; Sergey Levine (NeurIPS, 2019)

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 002 (Domain Adaptation for Visual Understanding, 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 (ICRA, 2020)

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. - Behnam Gholami; Pritish Sahu; Ognjen Rudovic; Konstantinos Bousmalis; Vladimir Pavlovic 001 (IEEE Trans. Image Process., 2020)

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; et al. (CoRL, 2021)

Manipulator-Independent Representations for Visual Imitation. - Yuxiang Zhou; Yusuf Aytar; Konstantinos Bousmalis (Robotics: Science and Systems, 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 001; Csaba Szepesvári; Raia Hadsell; et al. (CoRR, 2021)

Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. - Philémon Brakel; Steven Bohez; Leonard Hasenclever; Nicolas Heess; Konstantinos Bousmalis (IROS, 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 (IROS, 2022)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots. - Maria Bauzá 001; 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; et al. (CoRR, 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; et al. (Trans. Mach. Learn. Res., 2024)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations. - Zilin Si; José Enrique Chen; M. Emre Karagozler; Antonia Bronars; Jonathan Hutchinson; Thomas Lampe; Nimrod Gileadi; Taylor Howell; Stefano Saliceti; Lukasz Barczyk; Ilan Olivarez Correa; Tom Erez; et al. (CoRR, 2025)