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ORCIDChristopher L. Buckley
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2020 – today
- 2023
[i25]Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez:
Pretraining Language Models with Human Preferences. CoRR abs/2302.08582 (2023)- 2022
- [j12]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs. Neural Comput. 34(6): 1329-1368 (2022) - [c17]Tomasz Korbak, Ethan Perez, Christopher L. Buckley:
RL with KL penalties is better viewed as Bayesian inference. EMNLP (Findings) 2022: 1083-1091 - [i24]Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Hybrid Predictive Coding: Inferring, Fast and Slow. CoRR abs/2204.02169 (2022) - [i23]Tomasz Korbak, Ethan Perez, Christopher L. Buckley:
RL with KL penalties is better viewed as Bayesian inference. CoRR abs/2205.11275 (2022) - [i22]Beren Millidge, Christopher L. Buckley:
Successor Representation Active Inference. CoRR abs/2207.09897 (2022) - [i21]Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks. CoRR abs/2208.07114 (2022) - [i20]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 abs/2212.01354 (2022) - 2021
- [j11]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Whence the Expected Free Energy? Neural Comput. 33(2): 447-482 (2021) - [c16]Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Habitual and Reflective Control in Hierarchical Predictive Coding. PKDD/ECML Workshops (1) 2021: 830-842 - [e2]Michael Kamp
, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i19]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Neural Kalman Filtering. CoRR abs/2102.10021 (2021) - [i18]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) - [i17]Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Predictive Coding: a Theoretical and Experimental Review. CoRR abs/2107.12979 (2021) - [i16]Beren Millidge, Anil K. Seth, Christopher L. Buckley:
A Mathematical Walkthrough and Discussion of the Free Energy Principle. CoRR abs/2108.13343 (2021) - [i15]Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Habitual and Reflective Control in Hierarchical Predictive Coding. CoRR abs/2109.00866 (2021) - [i14]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
- [j10]Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Learning action-oriented models through active inference. PLoS Comput. Biol. 16(4) (2020) - [c15]Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley:
Scaling Active Inference. IJCNN 2020: 1-8 - [c14]Manuel Baltieri, Christopher L. Buckley, Jelle P. Bruineberg:
Predictions in the eye of the beholder: an active inference account of Watt governors. ALIFE 2020: 121-129 - [i13]Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Reinforcement Learning through Active Inference. CoRR abs/2002.12636 (2020) - [i12]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Whence the Expected Free Energy? CoRR abs/2004.08128 (2020) - [i11]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs. CoRR abs/2006.04182 (2020) - [i10]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Reinforcement Learning as Iterative and Amortised Inference. CoRR abs/2006.10524 (2020) - [i9]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) - [i8]Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Control as Hybrid Inference. CoRR abs/2007.05838 (2020) - [i7]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) - [i6]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Relaxing the Constraints on Predictive Coding Models. CoRR abs/2010.01047 (2020) - [i5]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
- [j9]Manuel Baltieri, Christopher L. Buckley:
PID Control as a Process of Active Inference with Linear Generative Models. Entropy 21(3): 257 (2019) - [c13]Manuel Baltieri, Christopher L. Buckley:
Nonmodular Architectures of Cognitive Systems based on Active Inference. IJCNN 2019: 1-8 - [c12]Manuel Baltieri, Christopher L. Buckley:
The dark room problem in predictive processing and active inference, a legacy of cognitivism? ALIFE 2019: 40-47 - [i4]Manuel Baltieri, Christopher L. Buckley:
Nonmodular architectures of cognitive systems based on active inference. CoRR abs/1903.09542 (2019) - [i3]Manuel Baltieri, Christopher L. Buckley:
Generative models as parsimonious descriptions of sensorimotor loops. CoRR abs/1904.12937 (2019) - [i2]Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley:
Scaling active inference. CoRR abs/1911.10601 (2019) - 2018
- [j8]Christopher L. Buckley, Taro Toyoizumi:
A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback. PLoS Comput. Biol. 14(1) (2018) - [c11]Manuel Baltieri, Christopher L. Buckley:
The modularity of action and perception revisited using control theory and active inference. ALIFE 2018: 121-128 - [c10]Manuel Baltieri, Christopher L. Buckley:
A Probabilistic Interpretation of PID Controllers Using Active Inference. SAB 2018: 15-26 - 2017
- [c9]Manuel Baltieri, Christopher L. Buckley:
An active inference implementation of phototaxis. ECAL 2017: 36-43 - 2015
- [i1]Simon McGregor, Manuel Baltieri, Christopher L. Buckley:
A Minimal Active Inference Agent. CoRR abs/1503.04187 (2015) - 2011
- [j7]Richard A. Watson, Rob Mills, Christopher L. Buckley:
Transformations in the scale of behavior and the global optimization of constraints in adaptive networks. Adapt. Behav. 19(4): 227-249 (2011) - [j6]Richard A. Watson, Rob Mills, Christopher L. Buckley:
Global Adaptation in Networks of Selfish Components: Emergent Associative Memory at the System Scale. Artif. Life 17(3): 147-166 (2011) - [j5]Adam P. Davies, Richard A. Watson, Rob Mills, Christopher L. Buckley, Jason Noble:
"If You Can't Be With the One You Love, Love the One You're With": How Individual Habituation of Agent Interactions Improves Global Utility. Artif. Life 17(3): 167-181 (2011) - [j4]Richard A. Watson, Christopher L. Buckley, Rob Mills:
Optimization in "self-modeling" complex adaptive systems. Complex. 16(5): 17-26 (2011) - [c8]Richard A. Watson, Rob Mills, Christopher L. Buckley:
Transformations and multi-scale optimisation in biological adaptive networks. ECAL 2011: 854-855 - 2010
- [j3]Christopher L. Buckley, Seth Bullock, Lionel C. Barnett:
Spatially embedded dynamics and complexity. Complex. 16(2): 29-34 (2010) - [j2]Philip Husbands, Andrew Philippides, Patrícia Amâncio Vargas, Christopher L. Buckley, Peter Fine, Ezequiel A. Di Paolo, Michael O'Shea:
Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task. Complex. 16(2): 35-44 (2010) - [c7]Richard A. Watson, Rob Mills, Christopher L. Buckley, Simon T. Powers, Alexandra S. Penn, Adam P. Davies, Jason Noble, Seth Bullock:
Adaptation without Natural Selection. ALIFE 2010: 80-81 - [c6]Richard A. Watson, Christopher L. Buckley, Rob Mills, Adam P. Davies:
Associative Memory in Gene Regulation Networks. ALIFE 2010: 194-202 - [c5]Adam P. Davies, Richard A. Watson, Rob Mills, Christopher L. Buckley, Jason Noble:
If You Can't Be With the One You Love, Love the One You're With - How Individual Habituation of Agent Interactions Improves Global Utility. ALIFE 2010: 659-666
2000 – 2009
- 2008
- [j1]Christopher L. Buckley, Seth Bullock:
Sensitivity and stability: A signal propagation sweet spot in a sheet of recurrent centre crossing neurons. Biosyst. 94(1-2): 2-9 (2008) - [c4]Christopher L. Buckley, Lionel C. Barnett, Seth Bullock:
Dynamical complexity of spatially embedded networks. ALIFE 2008: 755 - [c3]Christopher L. Buckley, Peter Fine, Seth Bullock, Ezequiel A. Di Paolo:
Monostable Controllers for Adaptive Behaviour. SAB 2008: 103-112 - 2007
- [c2]Christopher L. Buckley, Seth Bullock:
Spatial Embedding and Complexity: The Small-World Is Not Enough. ECAL 2007: 986-995 - 2005
- [c1]Christopher L. Buckley, Seth Bullock, Netta Cohen:
Timescale and Stability in Adaptive Behaviour. ECAL 2005: 292-301
Coauthor Index
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last updated on 2023-02-25 02:30 CET by the dblp team
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