Konstantinos Voudouris

28 papers A* 3B 2Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can vision language models learn intuitive physics from interaction? CoRR Luca M. Schulze Buschoff, Konstantinos Voudouris, Can Demircan, Eric Schulz
2026	J	`jnl`	In-Context Function Learning in Large Language Models. CoRR Elif Akata, Konstantinos Voudouris, Vincent Fortuin, Eric Schulz
2026	J	`jnl`	Measuring What AI Systems Might Do: Towards A Measurement Science in AI. CoRR Konstantinos Voudouris, Mirko Thalmann, Alexander Kipnis, José Hernández-Orallo, Eric Schulz
2026	J	`jnl`	Predictable artificial intelligence. Artif. Intell. Lexin Zhou, Pablo A. M. Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alexandru Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Sáirséal Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo
2025	J	`jnl`	A foundation model to predict and capture human cognition. Nat. Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz
2025	J	`jnl`	Bringing Comparative Cognition To Computers. CoRR Konstantinos Voudouris, Lucy G. Cheke, Eric Schulz
2025	J	`jnl`	Cognitive Science-Inspired Evaluation of Core Capabilities for Object Understanding in AI. CoRR Danaja Rutar, Alva Markelius, Konstantinos Voudouris, José Hernández-Orallo, Lucy Cheke
2025	J	`jnl`	Exploring Major Transitions in the Evolution of Biological Cognition With Artificial Neural Networks. CoRR Konstantinos Voudouris, Andrew Barron, Marta Halina, Colin Klein, Matishalin Patel
2025	—	`conf`	PredictaBoard: Benchmarking LLM Score Predictability. ACL (Findings) Lorenzo Pacchiardi, Konstantinos Voudouris, Ben Slater, Fernando Martínez-Plumed, José Hernández-Orallo, Lexin Zhou, Wout Schellaert
2025	J	`jnl`	PredictaBoard: Benchmarking LLM Score Predictability. CoRR Lorenzo Pacchiardi, Konstantinos Voudouris, Ben Slater, Fernando Martínez-Plumed, José Hernández-Orallo, Lexin Zhou, Wout Schellaert
2025	A*	`conf`	Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models. ICML Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz
2025	J	`jnl`	Testing the limits of fine-tuning to improve reasoning in vision language models. CoRR Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz
2025	B	`conf`	Using Tools From Animal Psychology to Measure Metacognition in Artificial Intelligence. CogSci Konstantinos Voudouris, Alexi J. Voudouris, Lucy G. Cheke
2025	A*	`conf`	metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models. ICLR Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz
2024	J	`jnl`	A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment. CoRR Matteo G. Mecattaf, Ben Slater, Marko Tesic, Jonathan E. Prunty, Konstantinos Voudouris, Lucy G. Cheke
2024	J	`jnl`	Centaur: a foundation model of human cognition. CoRR Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz
2024	B	`conf`	Investigating Object Permanence in Deep Reinforcement Learning Agents. CogSci Konstantinos Voudouris, Jason Darwin Liu, Natasza Siwinska, Wout Schellaert, Lucy G. Cheke
2024	J	`jnl`	metabench - A Sparse Benchmark to Measure General Ability in Large Language Models. CoRR Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz
2023	J	`jnl`	Animal-AI 3: What's New & Why You Should Care. CoRR Konstantinos Voudouris, Ibrahim Alhas, Wout Schellaert, Matthew Crosby, Joel Holmes, John Burden, Niharika Chaubey, Niall Donnelly, Matishalin Patel, Marta Halina, José Hernández-Orallo, Lucy G. Cheke
2023	—	`conf`	Harms from Increasingly Agentic Algorithmic Systems. FAccT Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
2023	J	`jnl`	Harms from Increasingly Agentic Algorithmic Systems. CoRR Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
2023	J	`jnl`	Inferring Capabilities from Task Performance with Bayesian Triangulation. CoRR John Burden, Konstantinos Voudouris, Ryan Burnell, Danaja Rutar, Lucy Cheke, José Hernández-Orallo
2023	J	`jnl`	Predictable Artificial Intelligence. CoRR Lexin Zhou, Pablo Antonio Moreno Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alexandru Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo
2022	—	`conf`	Evaluating Object Permanence in Embodied Agents using the Animal-AI Environment. EBeM@IJCAI Konstantinos Voudouris, Niall Donnelly, Danaja Rutar, Ryan Burnell, John Burden, José Hernández-Orallo, Lucy Cheke
2022	A*	`conf`	Not a Number: Identifying Instance Features for Capability-Oriented Evaluation. IJCAI Ryan Burnell, John Burden, Danaja Rutar, Konstantinos Voudouris, Lucy Cheke, José Hernández-Orallo
2019	J	`jnl`	Minimizing the uncertainties of RCMs climate data by using spatio-temporal geostatistical modeling. Earth Sci. Informatics Panagiota Venetsanou, Christina Anagnostopoulou, Athanasios Loukas, Georgia Lazoglou, Konstantinos Voudouris
2015	J	`jnl`	Support of irrigation water use and eco-friendly decision process in agricultural production planning. Oper. Res. Thomas Bournaris, Jason Papathanasiou, Basil D. Manos, Nerantzis Kazakis, Konstantinos Voudouris
2010	J	`jnl`	An Agricultural Decision Support System for Optimal Land Use Regarding Groundwater Vulnerability. Int. J. Inf. Syst. Soc. Chang. Konstantinos Voudouris, Maurizio Polemio, Nerantzis Kazakis, Angelo Sifaleras