Jaan Aru

According to our database, Jaan Aru authored at least 16 papers between 2015 and 2024.

Collaborative distances:

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

2024

How structured are the representations in transformer-based vision encoders? An analysis of multi-object representations in vision-language models.

Tarun Khajuria, Braian Olmiro Dias, Jaan Aru

CoRR, 2024

AI and personalized learning: bridging the gap with modern educational goals.

Kristjan-Julius Laak, Jaan Aru

CoRR, 2024

Personalisation is not Guaranteed: The Challenges of Using Generative AI for Personalised Learning.

Kristjan-Julius Laak, Rania Abdelghani, Jaan Aru

Proceedings of the Innovative Technologies and Learning - 7th International Conference, 2024

Generative AI in K-12: Opportunities for Learning and Utility for Teachers.

Kristjan-Julius Laak, Jaan Aru

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023

Mind the gap: challenges of deep learning approaches to Theory of Mind.

Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente

Artif. Intell. Rev., September, 2023

From DDMs to DNNs: Using process data and models of decision-making to improve human-AI interactions.

Mrugsen Nagsen Gopnarayan, Jaan Aru, Sebastian Gluth

CoRR, 2023

The feasibility of artificial consciousness through the lens of neuroscience.

Jaan Aru, Matthew E. Larkum, James M. Shine

CoRR, 2023

2022

The Evaluation of One-to-One Initiatives: Exploratory Results from a Systematic Review.

Gerti Pishtari, Edna Milena Sarmiento-Márquez, Kairit Tammets, Jaan Aru

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Constellations: A novel dataset for studying iterative inference in humans and AI.

Tarun Khajuria, Kadi Tulver, Taavi Luik, Jaan Aru

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

Perspective Taking in Deep Reinforcement Learning Agents.

Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente

Frontiers Comput. Neurosci., 2020

2018

APES: a Python toolbox for simulating reinforcement learning environments.

Aqeel Labash, Ardi Tampuu, Tambet Matiisen, Jaan Aru, Raul Vicente

CoRR, 2018

Do deep reinforcement learning agents model intentions?

Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raul Vicente

CoRR, 2018

What deep learning can tell us about higher cognitive functions like mindreading?

Jaan Aru, Raul Vicente

CoRR, 2018

2015

Change Blindness in 3D Virtual Reality.

Madis Vasser, Markus Kängsepp, Jaan Aru

CoRR, 2015

Multiagent Cooperation and Competition with Deep Reinforcement Learning.

Ardi Tampuu, Tambet Matiisen, Dorian Kodelja, Ilya Kuzovkin, Kristjan Korjus, Juhan Aru, Jaan Aru, Raul Vicente

CoRR, 2015

Virtual reality toolbox for experimental psychology - Research demo.

Madis Vasser, Markus Kängsepp, Kalver Kilvits, Taavi Kivisik, Jaan Aru

Proceedings of the 2015 IEEE Virtual Reality, 2015