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Christopher L. Buckley
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2020 – today
- 2024
- [e5]Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse:
Active Inference - 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13-15, 2023, Revised Selected Papers. Communications in Computer and Information Science 1915, Springer 2024, ISBN 978-3-031-47957-1 [contents] - [i33]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 abs/2407.20292 (2024) - [i32]Poppy Collis, Ryan Singh, Paul F. Kinghorn, Christopher L. Buckley:
Hybrid Recurrent Models Support Emergent Descriptions for Hierarchical Planning and Control. CoRR abs/2408.10970 (2024) - 2023
- [j14]John G. Holman, Winnie W. K. Lai, Paul Pichler, Daniel Saska, Leon Lagnado, Christopher L. Buckley:
A behavioral and modeling study of control algorithms underlying the translational optomotor response in larval zebrafish with implications for neural circuit function. PLoS Comput. Biol. 19(2) (2023) - [j13]Alexander Tscshantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Hybrid predictive coding: Inferring, fast and slow. PLoS Comput. Biol. 19(8) (2023) - [c29]Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez:
Pretraining Language Models with Human Preferences. ICML 2023: 17506-17533 - [c28]Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley:
Understanding Tool Discovery and Tool Innovation Using Active Inference. IWAI 2023: 43-58 - [c27]Miguel De Llanza Varona, Christopher L. Buckley, Beren Millidge:
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory. IWAI 2023: 189-203 - [c26]Alex B. Kiefer, Christopher L. Buckley:
Relative Representations for Cognitive Graphs. IWAI 2023: 218-236 - [c25]Ryan Singh, Christopher L. Buckley:
Attention as Implicit Structural Inference. NeurIPS 2023 - [e4]Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen:
Active Inference - Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers. Communications in Computer and Information Science 1721, Springer 2023, ISBN 978-3-031-28718-3 [contents] - [i31]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) - [i30]Ryan Singh, Christopher L. Buckley:
Attention: Marginal Probability is All You Need? CoRR abs/2304.04556 (2023) - [i29]Francesco Innocenti, Ryan Singh, Christopher L. Buckley:
Understanding Predictive Coding as an Adaptive Trust-Region Method. CoRR abs/2305.18188 (2023) - [i28]Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia:
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR abs/2308.07870 (2023) - [i27]Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley:
Understanding Tool Discovery and Tool Innovation Using Active Inference. CoRR abs/2311.03893 (2023) - [i26]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) - [i25]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
- [j12]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs. Neural Comput. 34(6): 1329-1368 (2022) - [c24]Tomasz Korbak, Ethan Perez, Christopher L. Buckley:
RL with KL penalties is better viewed as Bayesian inference. EMNLP (Findings) 2022: 1083-1091 - [c23]Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks. IWAI 2022: 1-15 - [c22]Miguel Aguilera, Ángel Poc-López, Conor Heins, Christopher L. Buckley:
Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium Models. IWAI 2022: 65-74 - [c21]Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher L. Buckley:
Spin Glass Systems as Collective Active Inference. IWAI 2022: 75-98 - [c20]Beren Millidge, Christopher L. Buckley:
Active Inference Successor Representations. IWAI 2022: 151-161 - [c19]Alex B. Kiefer, Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Capsule Networks as Generative Models. IWAI 2022: 192-209 - [c18]Magnus T. Koudahl, Christopher L. Buckley, Bert de Vries:
A Message Passing Perspective on Planning Under Active Inference. IWAI 2022: 319-327 - [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) - [c17]Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Habitual and Reflective Control in Hierarchical Predictive Coding. PKDD/ECML Workshops (1) 2021: 830-842 - [e3]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] - [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 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) - [c16]Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley:
Scaling Active Inference. IJCNN 2020: 1-8 - [c15]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 - [c14]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
On the Relationship Between Active Inference and Control as Inference. IWAI 2020: 3-11 - [e1]Tim Verbelen, Pablo Lanillos, Christopher L. Buckley, Cedric De Boom:
Active Inference - First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020, Proceedings. Communications in Computer and Information Science 1326, Springer 2020, ISBN 978-3-030-64918-0 [contents] - [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 2024-09-26 01:54 CEST by the dblp team
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