Christopher L. Buckley

97 papers A* 4B 2C 7Journal 59Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey on neuro-mimetic deep learning via predictive coding. Neural Networks Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2025	J	`jnl`	AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models. CoRR Conor Heins, Toon Van de Maele, Alexander Tschantz, Hampus Linander, Dimitrije Markovic, Tommaso Salvatori, Corrado Pezzato, Ozan Çatal, Ran Wei, Magnus T. Koudahl, Marco Perin, Karl J. Friston, Tim Verbelen, Christopher L. Buckley
2025	—	`ed.`	Active Inference - 5th International Workshop, IWAI 2024, Oxford, UK, September 9-11, 2024, Revised Selected Papers IWAI Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Riddhi J. Pitliya, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
2025	J	`jnl`	Active Inference and Intentional Behavior. Neural Comput. Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2025	J	`jnl`	Bayesian Predictive Coding. CoRR Alexander Tschantz, Magnus T. Koudahl, Hampus Linander, Lancelot Da Costa, Conor Heins, Jeff Beck, Christopher L. Buckley
2025	A*	`conf`	SR-AIF: Solving Sparse-Reward Robotic Tasks From Pixels with Active Inference and World Models. ICRA Viet Dung Nguyen, Zhizhuo Yang, Christopher L. Buckley, Alexander Ororbia
2025	J	`jnl`	Soft Geometric Inductive Bias for Object Centric Dynamics. CoRR Hampus Linander, Conor Heins, Alexander Tschantz, Marco Perin, Christopher L. Buckley
2025	J	`jnl`	μPC: Scaling Predictive Coding to 100+ Layer Networks. CoRR Francesco Innocenti, El Mehdi Achour, Christopher L. Buckley
2024	—	`ed.`	Active Inference - 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13-15, 2023, Revised Selected Papers IWAI Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
2024	J	`jnl`	Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory. CoRR Miguel De Llanza Varona, Christopher L. Buckley, Beren Millidge
2024	J	`jnl`	Hybrid Recurrent Models Support Emergent Descriptions for Hierarchical Planning and Control. CoRR Poppy Collis, Ryan Singh, Paul F. Kinghorn, Christopher L. Buckley
2024	J	`jnl`	JPC: Flexible Inference for Predictive Coding Networks in JAX. CoRR Francesco Innocenti, Paul F. Kinghorn, Will Yun-Farmbrough, Miguel De Llanza Varona, Ryan Singh, Christopher L. Buckley
2024	—	`conf`	Learning in Hybrid Active Inference Models. IWAI Poppy Collis, Ryan Singh, Paul F. Kinghorn, Christopher L. Buckley
2024	J	`jnl`	Learning in Hybrid Active Inference Models. CoRR Poppy Collis, Ryan Singh, Paul F. Kinghorn, Christopher L. Buckley
2024	J	`jnl`	Natural Induction: Spontaneous Adaptive Organisation without Natural Selection. Entropy Christopher L. Buckley, Tim Lewens, Michael Levin, Beren Millidge, Alexander Tschantz, Richard A. Watson
2024	A*	`conf`	Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? NeurIPS Francesco Innocenti, El Mehdi Achour, Ryan Singh, Christopher L. Buckley
2024	J	`jnl`	Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? CoRR Francesco Innocenti, El Mehdi Achour, Ryan Singh, Christopher L. Buckley
2024	J	`jnl`	R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models. CoRR Viet Dung Nguyen, Zhizhuo Yang, Christopher L. Buckley, Alexander Ororbia
2024	J	`jnl`	Variational Bayes Gaussian Splatting. CoRR Toon Van de Maele, Ozan Çatal, Alexander Tschantz, Christopher L. Buckley, Tim Verbelen
2023	J	`jnl`	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. John G. Holman, Winnie W. K. Lai, Paul Pichler, Daniel Saska, Leon Lagnado, Christopher L. Buckley
2023	—	`ed.`	Active Inference - Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers IWAI Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen
2023	J	`jnl`	Active Inference and Intentional Behaviour. CoRR Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2023	A*	`conf`	Attention as Implicit Structural Inference. NeurIPS Ryan Singh, Christopher L. Buckley
2023	J	`jnl`	Attention: Marginal Probability is All You Need? CoRR Ryan Singh, Christopher L. Buckley
2023	J	`jnl`	Brain-Inspired Computational Intelligence via Predictive Coding. CoRR Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2023	—	`conf`	Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory. IWAI Miguel De Llanza Varona, Christopher L. Buckley, Beren Millidge
2023	J	`jnl`	Hybrid predictive coding: Inferring, fast and slow. PLoS Comput. Biol. Alexander Tscshantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
2023	A*	`conf`	Pretraining Language Models with Human Preferences. ICML Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez
2023	J	`jnl`	Pretraining Language Models with Human Preferences. CoRR Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez
2023	—	`conf`	Relative Representations for Cognitive Graphs. IWAI Alex B. Kiefer, Christopher L. Buckley
2023	J	`jnl`	Supervised structure learning. CoRR 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
2023	J	`jnl`	Understanding Predictive Coding as an Adaptive Trust-Region Method. CoRR Francesco Innocenti, Ryan Singh, Christopher L. Buckley
2023	—	`conf`	Understanding Tool Discovery and Tool Innovation Using Active Inference. IWAI Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley
2023	J	`jnl`	Understanding Tool Discovery and Tool Innovation Using Active Inference. CoRR Poppy Collis, Paul F. Kinghorn, Christopher L. Buckley
2022	—	`conf`	A Message Passing Perspective on Planning Under Active Inference. IWAI Magnus T. Koudahl, Christopher L. Buckley, Bert de Vries
2022	—	`conf`	Active Inference Successor Representations. IWAI Beren Millidge, Christopher L. Buckley
2022	—	`conf`	Capsule Networks as Generative Models. IWAI Alex B. Kiefer, Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2022	J	`jnl`	Designing Ecosystems of Intelligence from First Principles. CoRR 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
2022	J	`jnl`	Hybrid Predictive Coding: Inferring, Fast and Slow. CoRR Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
2022	—	`conf`	Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium Models. IWAI Miguel Aguilera, Ángel Poc-López, Conor Heins, Christopher L. Buckley
2022	J	`jnl`	Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs. Neural Comput. Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2022	—	`conf`	Preventing Deterioration of Classification Accuracy in Predictive Coding Networks. IWAI Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley
2022	J	`jnl`	Preventing Deterioration of Classification Accuracy in Predictive Coding Networks. CoRR Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley
2022	—	`conf`	RL with KL penalties is better viewed as Bayesian inference. EMNLP (Findings) Tomasz Korbak, Ethan Perez, Christopher L. Buckley
2022	J	`jnl`	RL with KL penalties is better viewed as Bayesian inference. CoRR Tomasz Korbak, Ethan Perez, Christopher L. Buckley
2022	—	`conf`	Spin Glass Systems as Collective Active Inference. IWAI Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher L. Buckley
2022	J	`jnl`	Successor Representation Active Inference. CoRR Beren Millidge, Christopher L. Buckley
2021	J	`jnl`	A Mathematical Walkthrough and Discussion of the Free Energy Principle. CoRR Beren Millidge, Anil K. Seth, Christopher L. Buckley
2021	J	`jnl`	Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
2021	—	`conf`	Habitual and Reflective Control in Hierarchical Predictive Coding. PKDD/ECML Workshops (1) Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley
2021	J	`jnl`	Habitual and Reflective Control in Hierarchical Predictive Coding. CoRR Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley
2021	—	`ed.`	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 PKDD/ECML Workshops (1) 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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	—	`ed.`	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 PKDD/ECML Workshops (2) 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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	J	`jnl`	Neural Kalman Filtering. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2021	J	`jnl`	Predictive Coding: a Theoretical and Experimental Review. CoRR Beren Millidge, Anil K. Seth, Christopher L. Buckley
2021	J	`jnl`	Understanding the origin of information-seeking exploration in probabilistic objectives for control. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2021	J	`jnl`	Whence the Expected Free Energy? Neural Comput. Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2020	J	`jnl`	Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	—	`ed.`	Active Inference - First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020, Proceedings IWAI Tim Verbelen, Pablo Lanillos, Christopher L. Buckley, Cedric De Boom
2020	J	`jnl`	Control as Hybrid Inference. CoRR Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Learning action-oriented models through active inference. PLoS Comput. Biol. Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	—	`conf`	On the Relationship Between Active Inference and Control as Inference. IWAI Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	On the Relationship Between Active Inference and Control as Inference. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	C	`conf`	Predictions in the eye of the beholder: an active inference account of Watt governors. ALIFE Manuel Baltieri, Christopher L. Buckley, Jelle P. Bruineberg
2020	J	`jnl`	Predictive Coding Approximates Backprop along Arbitrary Computation Graphs. CoRR Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2020	J	`jnl`	Reinforcement Learning as Iterative and Amortised Inference. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Reinforcement Learning through Active Inference. CoRR Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Relaxing the Constraints on Predictive Coding Models. CoRR Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
2020	B	`conf`	Scaling Active Inference. IJCNN Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley
2020	J	`jnl`	Whence the Expected Free Energy? CoRR Beren Millidge, Alexander Tschantz, Christopher L. Buckley
2019	J	`jnl`	Generative models as parsimonious descriptions of sensorimotor loops. CoRR Manuel Baltieri, Christopher L. Buckley
2019	B	`conf`	Nonmodular Architectures of Cognitive Systems based on Active Inference. IJCNN Manuel Baltieri, Christopher L. Buckley
2019	J	`jnl`	Nonmodular architectures of cognitive systems based on active inference. CoRR Manuel Baltieri, Christopher L. Buckley
2019	J	`jnl`	PID Control as a Process of Active Inference with Linear Generative Models. Entropy Manuel Baltieri, Christopher L. Buckley
2019	J	`jnl`	Scaling active inference. CoRR Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley
2019	C	`conf`	The dark room problem in predictive processing and active inference, a legacy of cognitivism? ALIFE Manuel Baltieri, Christopher L. Buckley
2018	—	`conf`	A Probabilistic Interpretation of PID Controllers Using Active Inference. SAB Manuel Baltieri, Christopher L. Buckley
2018	J	`jnl`	A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback. PLoS Comput. Biol. Christopher L. Buckley, Taro Toyoizumi
2018	C	`conf`	The modularity of action and perception revisited using control theory and active inference. ALIFE Manuel Baltieri, Christopher L. Buckley
2017	—	`conf`	An active inference implementation of phototaxis. ECAL Manuel Baltieri, Christopher L. Buckley
2015	J	`jnl`	A Minimal Active Inference Agent. CoRR Simon McGregor, Manuel Baltieri, Christopher L. Buckley
2011	J	`jnl`	"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 Adam P. Davies, Richard A. Watson, Rob Mills, Christopher L. Buckley, Jason Noble
2011	J	`jnl`	Global Adaptation in Networks of Selfish Components: Emergent Associative Memory at the System Scale. Artif. Life Richard A. Watson, Rob Mills, Christopher L. Buckley
2011	J	`jnl`	Optimization in "self-modeling" complex adaptive systems. Complex. Richard A. Watson, Christopher L. Buckley, Rob Mills
2011	—	`conf`	Transformations and multi-scale optimisation in biological adaptive networks. ECAL Richard A. Watson, Rob Mills, Christopher L. Buckley
2011	J	`jnl`	Transformations in the scale of behavior and the global optimization of constraints in adaptive networks. Adapt. Behav. Richard A. Watson, Rob Mills, Christopher L. Buckley
2010	C	`conf`	Adaptation without Natural Selection. ALIFE Richard A. Watson, Rob Mills, Christopher L. Buckley, Simon T. Powers, Alexandra S. Penn, Adam P. Davies, Jason Noble, Seth Bullock
2010	C	`conf`	Associative Memory in Gene Regulation Networks. ALIFE Richard A. Watson, Christopher L. Buckley, Rob Mills, Adam P. Davies
2010	C	`conf`	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 Adam P. Davies, Richard A. Watson, Rob Mills, Christopher L. Buckley, Jason Noble
2010	J	`jnl`	Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task. Complex. Philip Husbands, Andrew Philippides, Patrícia Amâncio Vargas, Christopher L. Buckley, Peter Fine, Ezequiel A. Di Paolo, Michael O'Shea
2010	J	`jnl`	Spatially embedded dynamics and complexity. Complex. Christopher L. Buckley, Seth Bullock, Lionel C. Barnett
2008	C	`conf`	Dynamical complexity of spatially embedded networks. ALIFE Christopher L. Buckley, Lionel C. Barnett, Seth Bullock
2008	—	`conf`	Monostable Controllers for Adaptive Behaviour. SAB Christopher L. Buckley, Peter Fine, Seth Bullock, Ezequiel A. Di Paolo
2008	J	`jnl`	Sensitivity and stability: A signal propagation sweet spot in a sheet of recurrent centre crossing neurons. Biosyst. Christopher L. Buckley, Seth Bullock
2007	—	`conf`	Spatial Embedding and Complexity: The Small-World Is Not Enough. ECAL Christopher L. Buckley, Seth Bullock
2005	—	`conf`	Timescale and Stability in Adaptive Behaviour. ECAL Christopher L. Buckley, Seth Bullock, Netta Cohen