Alexander Tschantz

Orcid: 0000-0002-9751-5929

According to our database1, Alexander Tschantz authored at least 26 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Natural Induction: Spontaneous Adaptive Organisation without Natural Selection.
Entropy, September, 2024

Variational Bayes Gaussian Splatting.
CoRR, 2024

Gradient-free variational learning with conditional mixture networks.
CoRR, 2024

From pixels to planning: scale-free active inference.
CoRR, 2024

2023
Active Inference and Intentional Behaviour.
CoRR, 2023

Supervised structure learning.
CoRR, 2023

2022
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs.
Neural Comput., 2022

pymdp: A Python library for active inference in discrete state spaces.
J. Open Source Softw., 2022

Designing Ecosystems of Intelligence from First Principles.
CoRR, 2022

Hybrid Predictive Coding: Inferring, Fast and Slow.
CoRR, 2022

Capsule Networks as Generative Models.
Proceedings of the Active Inference - Third International Workshop, 2022

2021
Whence the Expected Free Energy?
Neural Comput., 2021

The Acquisition of Culturally Patterned Attention Styles Under Active Inference.
Frontiers Neurorobotics, 2021

Active Inference in Robotics and Artificial Agents: Survey and Challenges.
CoRR, 2021

Understanding the origin of information-seeking exploration in probabilistic objectives for control.
CoRR, 2021

Neural Kalman Filtering.
CoRR, 2021

2020
Learning action-oriented models through active inference.
PLoS Comput. Biol., 2020

Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm.
CoRR, 2020

Relaxing the Constraints on Predictive Coding Models.
CoRR, 2020

Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain.
CoRR, 2020

Control as Hybrid Inference.
CoRR, 2020

Reinforcement Learning as Iterative and Amortised Inference.
CoRR, 2020

Reinforcement Learning through Active Inference.
CoRR, 2020

On the Relationship Between Active Inference and Control as Inference.
Proceedings of the Active Inference - First International Workshop, 2020

Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events.
Proceedings of the Active Inference - First International Workshop, 2020

Scaling Active Inference.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020


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