I am a research engineer with over a decade of experience, currently specializing in cutting-edge generative image and video models, such as Imagen 3 and Veo at DeepMind. Previously, I led neural network design efforts at Google Brain, including serving as the Tech Lead of Flax, the most widely-used JAX neural network library globally. I’ve also been closely involved in the early development of large language models like T5X and I authored the CFQ dataset for measuring compositional generalization in language.
Throughout my career, I’ve worked across diverse areas of AI, collaborating with researchers and developers from various backgrounds and cultures. I thrive in dynamic environments, wearing multiple hats, and I’m passionate about fostering a positive and inclusive work culture where everyone feels empowered.
For more information, see my resumé (pdf), my github, or my google scholar.
You can also email me at marcvanzee [at] gmail [dot] com.
Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Marc van Zee et al. 2024. Imagen 3. arXiv preprint arXiv:2408.07009.
Anna van Zee, Marc van Zee, and Anders Søgaard. 2024. Group fairness in multilingual speech recognition models. In NAACL 2024, pages 2213–2226, Mexico City, Mexico, June 2024.
Huimin Dong, Marc van Zee, Dragan Doder, Xu Li, Rėka Markovich, Leon van der Torre. “Rights and Practical Reasoning in Deontic Logic”. DEON conference, 2023.
Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee et al. 2022. “Scaling Up Models and Data with 𝚝𝟻𝚡 and 𝚜𝚎𝚚𝚒𝚘”. In Journal of Machine Learning Research, 24(377):1–8, 2023.
Andreas Steiner, Marc van Zee. 2022. “JAX on the Web with TensorFlow.js”. In Tensorflow Blog.
Marc van Zee, Floris Bex, and Sepideh Ghanavati. 2021. “RationalGRL: A framework for argumentation and goal modeling”. In Argument & Computation 12.2: 191-245.
Marc van Zee, Daniel Furrer, Nathan Scales, Nathanael Schärli. 2020. “Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures”. arXiv:2007.08970.
Marc van Zee, Dragan Doder, Leendert van der Torre, Mehdi Dastani, Thomas Icard, Eric Pacuit. 2020. “Intention as Commitment toward Time”. In Artificial Intelligence, Elsevier BV, volume 283.
Marc van Zee. 2020. “Measuring Compositional Generalization”. In Google AI Blog.
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet. 2019. “Measuring Compositional Generalization: A Comprehensive Method on Realistic Data”. In International Conference on Learning Representations (ICLR).
Marc van Zee. 2018. “Beyond the Hype: Making Progress on Natural Language Systems” In Leon50 - Arguing about Logic: Debates in Individual and Collective Reasoning.
Marc van Zee. 2017. “Rational Architecture: Reasoning about Enterprise Dynamics (PhD Thesis)”. University of Luxembourg. grade: 5/5 (outstanding).
Leon van der Torre, Marc Van Zee. 2017. “Rational Enterprise Architecture”. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems.
Marc van Zee, Diana Marosin, Sepideh Ghanavati, Floris Bex. 2016. “RationalGRL: A Framework for Rationalizing Goal Models Using Argument Diagrams”. In International Conference on Conceptual Modeling (ER).
Marc van Zee, Diana Marosin, Floris Bex, Sepideh Ghanavati. 2016. “The RationalGRL toolset for Goal Models and Argument Diagrams”. In International Conference on Computational Models of Argument (COMMA’16), Demo abstract.
Marc van Zee, Dragan Doder. 2016. “AGM-Style Revision of Beliefs and Intentions”, In European Conference on Artificial Intelligence (ECAI).
Diana Marosin, Marc van Zee, Sepideh Ghanavati. 2016. “Formalizing and Modeling Enterprise Architecture (EA) Principles with Goal-oriented Requirements Language (GRL)”, In International Conference on Advanced Information System Engineering (CAiSE).
Marc van Zee, Dragan Doder. 2016. “AGM-Style Revision of Beliefs and Intentions from a Database Perspective (Preliminary Version)”, In International Workshop on Non-Monotonic Reasoning (NMR).
Marc van Zee, Thomas Icard. 2015. “Intention Reconsideration as Metareasoning”, In NeurIPS workshop: Bounded Optimality and Rational Metareasoning.
Marc van Zee, Dirk van der Linden. 2015. “ARMED: ARgumentation Mining and reasoning about Enterprise architecture Decisions”. In Benelux Conference on Artificial Intelligence (BNAIC)
Dirk van der Linden, Marc van Zee. 2015. “Insights from a Study on Decision Making in Enterprise Architecture”, In Working Conference on the Practice of Enterprise Modeling (PoEM).
Marc van Zee, Floris Bex, Sepideh Ghanavati. 2015. “Rationalization of Goal Models in GRL using Formal Argumentation”. In Requirements Engineering Conferenc (RE).
Marc van Zee. 2015. “Rational Architecture = Architecture from a Recommender Perspective (short paper)”, In International Joint Conference on Artificial Intelligence (IJCAI).
Marc van Zee, Mehdi Dastani, Dragan Doder, Leendert van der Torre. 2015. “AGM Revision of Beliefs about Action and Time”, In International Joint Conference on Artificial Intelligence (IJCAI).
Marc van Zee, Mehdi Dastani, Dragan Doder, Leendert van der Torre. 2015. “Consistency Conditions for Beliefs and Intentions”. In International Symposium on Logical Formalizations of Commonsense Reasoning.
Silvano Colombo Tosatto, Marc van Zee. 2014. “Bridging Social Network Analysis and Judgment Aggregation”. In International Conference on Social Informatics.
Marc van Zee, Sepideh Ghanavati. 2014. “Capturing Evidence and Rationales with Requirements Engineering and Argumentation-Based Techniques”, In Benelux Conference on Artificial Intelligence (BNAIC).
Marc van Zee, Mehdi Dastani, Yoav Shoham, Leendert van der Torre. 2014. “Collective Intention Revision from a Database Perspective”. In Collective Intentionality Conference.
Marc van Zee, Patrick Doherty, John-Jules Meyer. 2014. “Encoding Definitional Fragments of Temporal Action Logic into Logic Programming”. In International Workshop on Defeasible and Ampliative Reasoning (DARe).
Dirk van der Linden, Marc van Zee. 2014. “On the Semantic Feature Structure of Modeling Concepts: an Empirical Study”. In IEEE Conference on Business Informatics (CBI).
Marc van Zee, Georgios Plataniotis, Diana Marosin, Dirk van der Linden. 2014. “Formalizing Enterprise Architecture Decision Models using Integrity Constraints”. In IEEE Conference on Business Informatics (CBI).
Pouyan Ziafati, Yehia Elrakaiby, Marc van Zee, Leendert van der Torre, Holger Voos, Mehdi Dastani, John-Jules Meyer. 2014. “Reasoning on Robot Knowledge from Discrete and Asynchronous Observations”. In Knowledge Representation and Reasoning in Robotics.
Silvano Colombo Tosatto, Marc van Zee. 2014. “Social Network Analysis for Judgment Aggregation”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).
Diego Agustin Ambrossio, Alessio Antonini, Yehia Elrakaiby, Dov Gabbay, Marc van Zee. 2013. “Argument Revival in Annotated Argumentation Networks”, In Workshop on Argumentation in Artificial Intelligence and Philosophy: computational and philosophical perspectives (ARGAIP).
Natasha Alechina, Tristan Behrens, Mehdi Dastani, Koen Hindriks, Koen Hubner, Fred Jomi, Brian Logan, Hai H. Nguyen, Marc van Zee. 2013. “Multi-Cycle Query Caching in Agent Programming”. In AAAI Conference on Artificial Intelligence.
Mehdi Dastani, Marc van Zee. 2013. “Belief Caching in 2APL”. In Workshop on Engineering Multi-Agent Systems (EMAS).
Marc van Zee. 2013. “Implementing Temporal Action Logics (Master’s thesis)”. Utrecht University. grade: summa cum laude.