Iulia-Maria Comșa

Iulia-Maria Comșa

Iulia Comșa is a Research Scientist at Google Research in Zürich working on biologically-inspired computing. She has developed learning algorithms for spiking neural networks and is currently exploring the limits of human-like cognition in large language models. She has a BSc in computer science from Babeș-Bolyai University and a PhD in neuroscience from Cambridge University.

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A Benchmark for Reasoning with Spatial Prepositions
Iulia Comșa
Srini Narayanan
EMNLP 2023 (2023)
MiQA: A Benchmark for Inference on Metaphorical Questions
Iulia Comșa
Julian Martin Eisenschlos
Srini Narayanan
AACL-IJCNLP (2022) (to appear)
Spiking autoencoders with temporal coding
Iulia Comșa
Jyrki Alakuijala
Luca Versari
Thomas Fischbacher
Frontiers in Neuroscience (2021)
Zuckerli: A New Compressed Representation for Graphs
Luca Versari
Iulia M. Comsa
Alessio Conte
Roberto Grossi
IEEE Access, 8 (2020), pp. 219233-219243
JPEG XL next-generation image compression architecture and coding tools
Jyrki Alakuijala
Ruud van Asseldonk
Sami Boukortt
Martin Bruse
Iulia-Maria Comsa
Moritz Firsching
Thomas Fischbacher
Sebastian Gomez
Evgenii Kliuchnikov
Robert Obryk
Krzysztof Potempa
Alexander Rhatushnyak
Jon Sneyers
Zoltan Szabadka
Lode Vandevenne
Luca Versari
Jan Wassenberg
SPIE Applications of Digital Image Processing, SPIE (2019)
SO(8) Supergravity and the Magic of Machine Learning
Iulia-Maria Comsa
Moritz Firsching
Thomas Fischbacher
Journal of High Energy Physics, August 2019 (2019), 2019:57
Temporal coding in spiking neural networks with alpha synaptic function
Iulia-Maria Comsa
Krzysztof Potempa
Luca Versari
Thomas Fischbacher
Andrea Gesmundo
Jyrki Alakuijala
arXiv:1907.13223 (2019)
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