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Alexander Tschantz
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2020 – today
- 2024
- [j6]Christopher L. Buckley, Tim Lewens, Michael Levin
, Beren Millidge, Alexander Tschantz, Richard A. Watson:
Natural Induction: Spontaneous Adaptive Organisation without Natural Selection. Entropy 26(9): 765 (2024) - [i22]Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr:
From pixels to planning: scale-free active inference. CoRR abs/2407.20292 (2024) - [i21]Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz, Jeff Beck, Christopher Buckley:
Gradient-free variational learning with conditional mixture networks. CoRR abs/2408.16429 (2024) - [i20]Toon Van de Maele, Ozan Çatal, Alexander Tschantz, Christopher L. Buckley, Tim Verbelen:
Variational Bayes Gaussian Splatting. CoRR abs/2410.03592 (2024) - [i19]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:
Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems. CoRR abs/2410.10653 (2024) - 2023
- [i18]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 abs/2311.10300 (2023) - [i17]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 abs/2312.07547 (2023) - 2022
- [j5]Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein
pymdp: A Python library for active inference in discrete state spaces. J. Open Source Softw. 7(73): 4098 (2022) - [j4]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs. Neural Comput. 34(6): 1329-1368 (2022) - [c4]Alex B. Kiefer, Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Capsule Networks as Generative Models. IWAI 2022: 192-209 - [i16]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. CoRR abs/2201.03904 (2022) - [i15]Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Hybrid Predictive Coding: Inferring, Fast and Slow. CoRR abs/2204.02169 (2022) - [i14]Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin
Designing Ecosystems of Intelligence from First Principles. CoRR abs/2212.01354 (2022) - 2021
- [j3]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: 729665 (2021) - [j2]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Whence the Expected Free Energy? Neural Comput. 33(2): 447-482 (2021) - [i13]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Neural Kalman Filtering. CoRR abs/2102.10021 (2021) - [i12]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Understanding the origin of information-seeking exploration in probabilistic objectives for control. CoRR abs/2103.06859 (2021) - [i11]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 abs/2112.01871 (2021) - 2020
- [j1]Alexander Tschantz
Learning action-oriented models through active inference. PLoS Comput. Biol. 16(4) (2020) - [c3]Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley:
Scaling Active Inference. IJCNN 2020: 1-8 - [c2]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
On the Relationship Between Active Inference and Control as Inference. IWAI 2020: 3-11 - [c1]Casper Hesp
Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events. IWAI 2020: 179-186 - [i10]Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Reinforcement Learning through Active Inference. CoRR abs/2002.12636 (2020) - [i9]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Whence the Expected Free Energy? CoRR abs/2004.08128 (2020) - [i8]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs. CoRR abs/2006.04182 (2020) - [i7]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Reinforcement Learning as Iterative and Amortised Inference. CoRR abs/2006.10524 (2020) - [i6]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
On the Relationship Between Active Inference and Control as Inference. CoRR abs/2006.12964 (2020) - [i5]Alexander Tschantz, Beren Millidge, Anil K. Seth
Control as Hybrid Inference. CoRR abs/2007.05838 (2020) - [i4]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain. CoRR abs/2009.05359 (2020) - [i3]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Relaxing the Constraints on Predictive Coding Models. CoRR abs/2010.01047 (2020) - [i2]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm. CoRR abs/2010.06219 (2020)
2010 – 2019
- 2019
- [i1]Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley:
Scaling active inference. CoRR abs/1911.10601 (2019)
Coauthor Index
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