Alexander Tschantz

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Predictive Coding

Kalman Filtering

Reinforcement Learning

Top Venues

Frontiers Neurorobotics

Publications

Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher L. Buckley, Thomas Parr
From pixels to planning: scale-free active inference. CoRR (2024)
Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
Active Inference and Intentional Behaviour. CoRR (2023)
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
Supervised structure learning. CoRR (2023)
Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain Couzin, Alexander Tschantz
pymdp: A Python library for active inference in discrete state spaces. CoRR (2022)
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Hybrid Predictive Coding: Inferring, Fast and Slow. CoRR (2022)
Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz
pymdp: A Python library for active inference in discrete state spaces. J. Open Source Softw. 7 (73) (2022)
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs. Neural Comput. 34 (6) (2022)
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
Designing Ecosystems of Intelligence from First Principles. CoRR (2022)
Alex B. Kiefer, Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Capsule Networks as Generative Models. IWAI (2022)
Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR (2021)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Understanding the origin of information-seeking exploration in probabilistic objectives for control. CoRR (2021)
Axel Constant, Alexander Tschantz, Beren Millidge, Felipe Criado-Boado, Luis M. Martinez, Johannes Müller, Andy Clark
The Acquisition of Culturally Patterned Attention Styles Under Active Inference. Frontiers Neurorobotics 15 (2021)
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Whence the Expected Free Energy? Neural Comput. 33 (2) (2021)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Neural Kalman Filtering. CoRR (2021)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Reinforcement Learning as Iterative and Amortised Inference. CoRR (2020)
Casper Hesp, Alexander Tschantz, Beren Millidge, Maxwell Ramstead, Karl J. Friston, Ryan Smith
Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events. IWAI (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Relaxing the Constraints on Predictive Coding Models. CoRR (2020)
Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Learning action-oriented models through active inference. PLoS Comput. Biol. 16 (4) (2020)
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Control as Hybrid Inference. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
On the Relationship Between Active Inference and Control as Inference. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm. CoRR (2020)
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs. CoRR (2020)
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
On the Relationship Between Active Inference and Control as Inference. IWAI (2020)
Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley
Scaling Active Inference. IJCNN (2020)
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
Whence the Expected Free Energy? CoRR (2020)
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Reinforcement Learning through Active Inference. CoRR (2020)
Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley
Scaling active inference. CoRR (2019)