Items where Author, Editor or other role is "Grzes, Marek"

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Number of items: 43.

B

Bonheme, Lisa (2024) The Polarised Regime of Variational Autoencoders. Doctor of Philosophy (PhD) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.104799) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:104799)

Bonheme, Lisa, Grzes, Marek (2023) Be more active! understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders. Journal of Machine Learning Research, 24 . Article Number 324. ISSN 1532-4435. E-ISSN 1533-7928. (KAR id:104329)

Bonheme, Lisa and Grzes, Marek (2022) FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders. [Preprint] (doi:10.48550/arXiv.2209.12806) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:98787)

Bonheme, Lisa and Grzes, Marek (2022) How do Variational Autoencoders Learn? Insights from Representational Similarity. [Preprint] (doi:10.48550/arXiv.2205.08399) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:98783)

Bonheme, Lisa and Grzes, Marek (2021) Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders. [Preprint] (doi:10.48550/arXiv.2109.12679) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:98782)

Bonheme, Lisa, Grzes, Marek (2020) SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes. In: Proceedings of the Fourteenth Workshop on Semantic Evaluation. . (KAR id:82204)

C

Champion, Théophile, Grzes, Marek, Bowman, Howard (2024) Multimodal and Multifactor Branching Time Active Inference. Neural Computation, . pp. 1-26. ISSN 1530-888X. (doi:10.1162/neco_a_01703) (KAR id:107152)

Champion, Théophile, Grzés, Marek, Bonheme, Lisa, Bowman, Howard (2024) Deconstructing deep active inference: a contrarian information gatherer. Neural Computation, 36 (11). pp. 2403-2445. ISSN 0899-7667. E-ISSN 1530-888X. (doi:10.1162/neco_a_01697) (KAR id:106996)

Clapham, Peter, Grzes, Marek (2023) Posterior Collapse in Variational Gradient Origin Networks. In: 22nd International Conference on Machine Learning and Applications (ICMLA). . (In press) (KAR id:103129)

Champion, Théophile, Grzes, Marek, Bowman, Howard (2022) Branching Time Active Inference with Bayesian Filtering. Neural Computation, 34 (10). pp. 2132-2144. ISSN 0899-7667. (doi:10.1162/neco_a_01529) (KAR id:95495)

Champion, Théophile and Grzes, Marek and Bowman, Howard (2022) Multi-Modal and Multi-Factor Branching Time Active Inference. [Preprint] (doi:10.48550/arXiv.2206.12503) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:98786)

Champion, Théophile, Bowman, Howard, Grzes, Marek (2022) Branching Time Active Inference: empirical study and complexity class analysis. Neural Networks, 152 . pp. 450-466. ISSN 0893-6080. (doi:10.1016/j.neunet.2022.05.010) (KAR id:98200)

Champion, Théophile, Da Costa, Lancelot, Bowman, Howard, Grześ, Marek (2022) Branching Time Active Inference: The theory and its generality. Neural Networks, 151 . pp. 295-316. ISSN 0893-6080. (doi:10.1016/j.neunet.2022.03.036) (KAR id:93990)

Champion, Théophile, Grześ, Marek, Bowman, Howard (2021) Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker. Neural Computation, 33 (10). ISSN 0899-7667. E-ISSN 1530-888X. (doi:10.1162/neco_a_01422) (KAR id:88015)

Casey, Anthony, Azhar, Hannan, Grzes, Marek, Sakel, Mohamed (2019) BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients. Disability and Rehabilitation: Assistive Technology, . ISSN 1748-3107. (doi:10.1080/17483107.2019.1683239) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:78608)

Czajkowski, Marcin, Grzes, Marek, Kretowski, Marek (2014) Multi-test Decision Tree and its Application to Microarray Data Classification. Artificial Intelligence in Medicine, 61 (1). pp. 35-44. ISSN 0933-3657. (doi:10.1016/j.artmed.2014.01.005) (KAR id:48654)

D

de Lemos, Rogerio, Grzes, Marek (2019) Self-adaptive Artificial Intelligence. In: 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). . IEEE, New York, NY, USA ISBN 978-1-7281-3368-3. (doi:10.1109/SEAMS.2019.00028) (KAR id:73259)

G

Goes, Fabricio, Sawicki, Piotr, Grześ, Marek, Brown, Dan, Volpe, Marco (2023) Is GPT-4 good enough to evaluate jokes? In: International Conference for Computational Creativity. . , Waterloo, Canada (In press) (KAR id:101552)

Goes, Fabricio, Volpe, Marco, Sawicki, Piotr, Grześ, Marek, Watson, Jacob (2023) Pushing GPT’s creativity to Its limits: alternative uses and Torrance Tests. In: Proceedings of the 14th International Conference for Computational Creativity. . (In press) (KAR id:101551)

Grzes, Marek, Bonheme, Lisa (2023) The Polarised Regime of identifiable Variational Autoencoders. In: The First Tiny Papers Track at the International Conference on Learning Representations (ICLR). . (KAR id:101233)

Goes, Fabricio and Zhou, Zisen and Sawicki, Piotr and Grześ, Marek and Brown, Dan (2022) Crowd score: a method for the evaluation of jokes using Large Language Model AI voters as judges. [Preprint] (doi:10.48550/arXiv.2212.11214) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:101553)

Grzes, Marek (2017) Reward Shaping in Episodic Reinforcement Learning. In: Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017). . pp. 565-573. ACM (KAR id:60614)

Grzes, Marek, Poupart, Pascal (2015) Incremental Policy Iteration with Guaranteed Escape from Local Optima in POMDP Planning. In: Proceedings of the 14th International Conference on Autonomous Agents and Multiagent System. Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). . (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:48652)

Grześ, Marek, Poupart, Pascal, Yang, Xiao, Hoey, Jesse (2014) Energy Efficient Execution of POMDP Policies. IEEE Transactions on Cybernetics, 45 (11). pp. 2484-2497. ISSN 2168-2267. E-ISSN 2168-2275. (doi:10.1109/TCYB.2014.2375817) (KAR id:48653)

Grzes, Marek, Hoey, Jesse, Khan, Shehroz S., Mihailidis, Alex, Czarnuch, Stephen, Jackson, Dan, Monk, Andrew (2014) Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model. International Journal of Approximate Reasoning, 55 (1). pp. 36-58. ISSN 0888-613X. (doi:10.1016/j.ijar.2013.03.006) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:47510)

Grzes, Marek, Poupart, Pascal (2014) POMDP Planning and Execution in an Augmented Space. In: Alessio Lomuscio, Paul Scerri, Ana Bazzan, and Michael Huhns (eds.), Proceedings of the 13th International Con- ference on Autonomous Agents and Multiagent Systems (AAMAS 2014). Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). . pp. 757-764. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:48655)

Grzes, Marek, Poupart, Pascal, Hoey, Jesse (2013) Controller Compilation and Compression for Resource Constrained Applications. In: Perny, Patrice and Pirlot, Marc and Tsoukias, Alexis, eds. Third International Conference, ADT 2013, Bruxelles, Belgium, November 12-14, 2013, Proceedings. Proceedings of International Conference on Algorithmic Decision Theory (ADT). Lecture Notes in Computer Science . pp. 193-207. Springer, Berlin, Germany ISBN 978-3-642-41574-6. E-ISBN 978-3-642-41575-3. (doi:10.1007/978-3-642-41575-3_15) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:48656)

Grzes, Marek, Poupart, Pascal, Hoey, Jesse (2013) Isomorph-Free Branch and Bound Search for Finite State Controllers. In: Proceedings of International Joint Conference on Artificial Intelligence (IJCAI). . (KAR id:48657)

Grzes, Marek, Hoey, Jesse (2013) On the Convergence of Techniques that Improve Value Iteration. In: Neural Networks (IJCNN), The 2013 International Joint Conference. Proceedings of International Joint Conference on Neural Networks (IJCNN). . pp. 1-8. ISBN 978-1-4673-6128-6. (doi:10.1109/IJCNN.2013.6706982) (KAR id:48658)

H

Harris, Lee, Grzes, Marek (2019) Comparing Explanations between Random Forests and Artificial Neural Networks. In: Proceedings of the 2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC). . IEEE (doi:10.1109/SMC.2019.8914321) (KAR id:75472)

L

Liza, Farhana Ferdousi (2019) Improving Training of Deep Neural Network Sequence Models. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:81637)

Liza, Farhana Ferdousi, Grzes, Marek (2019) Relating RNN layers with the spectral WFA ranks in sequence modelling. In: ACL workshop on Deep Learning and Formal Languages: Building Bridges, 2 August 2019, Florence, Italy. (Unpublished) (KAR id:74240)

Liza, Farhana Ferdousi, Grzes, Marek (2018) Improving Language Modelling with Noise Contrastive Estimation. In: The Thirty-Second AAAI Conference on Artificial Intelligence. . pp. 5277-5284. Association for the Advancement of Artificial Intelligence, Palo Alto, California, USA ISBN 978-1-57735-800-8. (KAR id:65147)

Liza, Farhana Ferdousi and Grzes, Marek (2017) Improving Language Modelling with Noise-contrastive estimation. [Preprint] (doi:10.48550/arXiv.1709.07758) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:98779)

Liza, Farhana Ferdousi, Grzes, Marek (2016) A Spectral Method that Worked Well in the SPiCe'16 Competition. In: Verwer, Sicco and van Zaanen, Menno and Smetsers, Rick, eds. Journal of Machine Learning Research. Volume 57: Proceedings of The 13th International Conference on Grammatical Inference. JMLR: Workshop and Conference Proceedings , 57. pp. 143-148. Journal of Machine Learning Research (KAR id:57327)

Liza, Farhana Ferdousi, Grzes, Marek (2016) An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods. In: The 54th Annual Meeting of the Association for Computational Linguistics. . pp. 55-61. Association for Computational Linguistics, Stroudsburg, Pennsylvania, USA ISBN 978-1-945626-14-2. (KAR id:57326)

Liza, Farhana Ferdousi, Grzes, Marek (2016) Estimating the Accuracy of Spectral Learning for HMMs. In: Estimating the Accuracy of Spectral Learning for HMMs. Lecture Notes in Computer Science . pp. 46-56. Springer ISBN 978-3-319-44747-6. E-ISBN 978-3-319-44748-3. (doi:10.1007/978-3-319-44748-3_5) (KAR id:57317)

S

Sawicki, Piotr, Grzes, Marek, Goes, Fabricio, Brown, Dan, Peeperkorn, Max, Khatun, Aisha (2023) Bits of grass: does GPT already know how to write like Whitman? In: Proceedings of the 14th International Conference for Computational Creativity. . (In press) (KAR id:101550)

Sawicki, Piotr, Grzes, Marek, Goes, Fabricio, Brown, Dan, Peeperkorn, Max, Aisha, Khatun, Simona, Paraskevopoulou (2023) On the power of special-purpose GPT models to create and evaluate new poetry in old styles. In: International Conference on Computational Creativity (ICCC). . (In press) (KAR id:101234)

Sawicki, Piotr, Grzes, Marek, Jordanous, Anna, Brown, Dan, Peeperkorn, Max (2022) Training GPT-2 to represent two Romantic-era authors: challenges, evaluations and pitfalls. In: 13th International Conference on Computational Creativity. . pp. 34-43. Association for Computational Creativity (ACC) ISBN 978-989-54160-4-2. (KAR id:94992)

Shannon, Jack and Grzes, Marek (2018) Reinforcement Learning using Augmented Neural Networks. [Preprint] (doi:10.48550/arXiv.1806.07692) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:98780)

V

Vallati, Mauro, Chrpa, Lukáš, Grzes, Marek, McCluskey, Thomas L, Roberts, Mark, Sanner, Scott (2015) The 2014 International Planning Competition: Progress and Trends. AI Magazine, 36 (3). pp. 90-98. ISSN 0738-4602. (doi:10.1609/aimag.v36i3.2571) (KAR id:53894)

W

Wesek, Adrian (2021) A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language. Master of Research (MRes) thesis, University of Kent,. (doi:10.22024/UniKent/01.02.87195) (KAR id:87195)

This list was generated on Fri Nov 22 20:30:59 2024 GMT.