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Michalis Titsias
Research Scientist, Google DeepMind
Joined
November 2017
Names
Michalis Titsias
,
Michalis K. Titsias
Emails
****@aueb.gr
(Confirmed)
,
****@google.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Research Scientist
Google DeepMind
(google.com)
2018
–
Present
Assistant Professor
Athens University of Economics and Business
(aueb.gr)
2012
–
2018
Advisors, Relations & Conflicts
No relations added
Expertise
No areas of expertise listed
Publications
Variational Learning for Insertion-based Generation
Yangtian Zhang
,
Zhe Wang
,
Arthur Gretton
,
Rex Ying
,
David van Dijk
,
Michalis Titsias
,
Jiaxin Shi
ICML 2026 spotlight
Readers:
Everyone
LO-ARMs++: Improving Learning-Order Autoregressive Models for Molecular String Generation
Zhe Wang
,
Jiaxin Shi
,
Michalis Titsias
,
Arnaud Doucet
,
Nicolas Heess
,
Yee Whye Teh
,
Arthur Gretton
Submitted to ICLR 2026
Readers:
Everyone
Modeling Molecular Sequences with Learning-Order Autoregressive Models
Zhe Wang
,
Jiaxin Shi
,
Nicolas Heess
,
Michalis Titsias
,
Arthur Gretton
,
Yee Whye Teh
GenBio 2025 Poster
Readers:
Everyone
Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited
Thang D Bui
,
Michalis Titsias
NeurIPS 2025 poster
Readers:
Everyone
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
Zhe Wang
,
Jiaxin Shi
,
Nicolas Heess
,
Arthur Gretton
,
Michalis Titsias
ICML 2025 poster
Readers:
Everyone
New Bounds for Sparse Variational Gaussian Processes
Michalis Titsias
ICML 2025 spotlightposter
Readers:
Everyone
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
Alexandre Galashov
,
Michalis Titsias
,
András György
,
Clare Lyle
,
Razvan Pascanu
,
Yee Whye Teh
,
Maneesh Sahani
NeurIPS 2024 poster
Readers:
Everyone
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi
,
Kehang Han
,
Zhe Wang
,
Arnaud Doucet
,
Michalis Titsias
NeurIPS 2024 poster
Readers:
Everyone
Stochastic linear dynamics in parameters to deal with Neural Networks plasticity loss
Alexandre Galashov
,
Michalis Titsias
,
Razvan Pascanu
,
Yee Whye Teh
,
Maneesh Sahani
DistShift 2023 Poster
Readers:
Everyone
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models
Amal Rannen-Triki
,
Jorg Bornschein
,
Razvan Pascanu
,
Alexandre Galashov
,
Michalis Titsias
,
Marcus Hutter
,
András György
,
Yee Whye Teh
DistShift 2023 Poster
Readers:
Everyone
View all 66 publications
Co-Authors
Adji B. Dieng
Alexander G. de G. Matthews
Alexandre Galashov
Amal Rannen-Triki
Andreas C. Damianou
András György
Ang Li
Antti Honkela
Apostolos N. Adamakos
Aristeidis Panos
Aristidis Likas
Arnaud Doucet
Arthur Gretton
Carl Henrik Ek
Christopher C. Holmes
Christopher K. I. Williams
Christopher Yau
Clare Lyle
Constantinos Constantinopoulos
Daniele Calandriello
David Luengo
David M. Blei
David van Dijk
Francisco J. R. Ruiz
Francisco Ruiz
View all 59 co-authors