Alexander Tschantz

37 papers B 1Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models. CoRR Conor Heins, Toon Van de Maele, Alexander Tschantz, Hampus Linander, Dimitrije Markovic, Tommaso Salvatori, Corrado Pezzato, Ozan Çatal, Ran Wei, Magnus T. Koudahl, Marco Perin, Karl J. Friston, Tim Verbelen, Christopher L. Buckley
2025	J	`jnl`	Active Inference and Intentional Behavior. Neural Comput. Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2025	J	`jnl`	Bayesian Predictive Coding. CoRR Alexander Tschantz, Magnus T. Koudahl, Hampus Linander, Lancelot Da Costa, Conor Heins, Jeff Beck, Christopher L. Buckley
2025	J	`jnl`	Gradient-Free De Novo Learning. Entropy Karl J. Friston, Thomas Parr, Conor Heins, Lancelot Da Costa, Tommaso Salvatori, Alexander Tschantz, Magnus T. Koudahl, Toon Van de Maele, Christopher Buckley, Tim Verbelen
2025	J	`jnl`	Soft Geometric Inductive Bias for Object Centric Dynamics. CoRR Hampus Linander, Conor Heins, Alexander Tschantz, Marco Perin, Christopher L. Buckley
2024	J	`jnl`	From pixels to planning: scale-free active inference. CoRR Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr
2024	J	`jnl`	Gradient-free variational learning with conditional mixture networks. CoRR Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz, Jeff Beck, Christopher Buckley
2024	J	`jnl`	Natural Induction: Spontaneous Adaptive Organisation without Natural Selection. Entropy Christopher L. Buckley, Tim Lewens, Michael Levin, Beren Millidge, Alexander Tschantz, Richard A. Watson
2024	J	`jnl`	Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems. CoRR Ran Wei, Joseph Lee, Shohei Wakayama, Alexander Tschantz, Conor Heins, Christopher Buckley, John Carenbauer, Hari Thiruvengada, Mahault Albarracin, Miguel de Prado, Petter Horling, Peter Winzell, Renjith Rajagopal
2024	J	`jnl`	Variational Bayes Gaussian Splatting. CoRR Toon Van de Maele, Ozan Çatal, Alexander Tschantz, Christopher L. Buckley, Tim Verbelen
2023	J	`jnl`	Active Inference and Intentional Behaviour. CoRR Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2023	J	`jnl`	Supervised structure learning. CoRR Karl J. Friston, Lancelot Da Costa, Alexander Tschantz, Alex B. Kiefer, Tommaso Salvatori, Victorita Neacsu, Magnus T. Koudahl, Conor Heins, Noor Sajid, Dimitrije Markovic, Thomas Parr, Tim Verbelen, Christopher L. Buckley
2022	—	`conf`	Capsule Networks as Generative Models. IWAI Alex B. Kiefer, Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2022	J	`jnl`	Designing Ecosystems of Intelligence from First Principles. CoRR Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin, Riddhi J. Pitliya, Conor Heins, Brennan Klein, Beren Millidge, Dalton A. R. Sakthivadivel, Toby St Clere Smithe, Magnus T. Koudahl, Safae Essafi Tremblay, Capm Petersen, Kaiser Fung, Jason G. Fox, Steven Swanson, Dan Mapes, Gabriel René
2022	J	`jnl`	Hybrid Predictive Coding: Inferring, Fast and Slow. CoRR Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
2022	J	`jnl`	Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs. Neural Comput. Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2022	J	`jnl`	pymdp: A Python library for active inference in discrete state spaces. CoRR Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz
2022	J	`jnl`	pymdp: A Python library for active inference in discrete state spaces. J. Open Source Softw. Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz
2021	J	`jnl`	Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
2021	J	`jnl`	Neural Kalman Filtering. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2021	J	`jnl`	The Acquisition of Culturally Patterned Attention Styles Under Active Inference. Frontiers Neurorobotics Axel Constant, Alexander Tschantz, Beren Millidge, Felipe Criado-Boado, Luis M. Martinez, Johannes Müller, Andy Clark
2021	J	`jnl`	Understanding the origin of information-seeking exploration in probabilistic objectives for control. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2021	J	`jnl`	Whence the Expected Free Energy? Neural Comput. Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2020	J	`jnl`	Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Control as Hybrid Inference. CoRR Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Learning action-oriented models through active inference. PLoS Comput. Biol. Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	—	`conf`	On the Relationship Between Active Inference and Control as Inference. IWAI Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	On the Relationship Between Active Inference and Control as Inference. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Predictive Coding Approximates Backprop along Arbitrary Computation Graphs. CoRR Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2020	J	`jnl`	Reinforcement Learning as Iterative and Amortised Inference. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Reinforcement Learning through Active Inference. CoRR Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Relaxing the Constraints on Predictive Coding Models. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	B	`conf`	Scaling Active Inference. IJCNN Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley
2020	—	`conf`	Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events. IWAI Casper Hesp, Alexander Tschantz, Beren Millidge, Maxwell Ramstead, Karl J. Friston, Ryan Smith
2020	J	`jnl`	Whence the Expected Free Energy? CoRR Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2019	J	`jnl`	Scaling active inference. CoRR Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley