Kory W. Mathewson

Orcid: 0000-0002-5688-6221

Affiliations:
  • DeepMind, London, UK
  • University of Alberta, Department of Computing Science, Edmonton, AB, Canada (PhD)


According to our database1, Kory W. Mathewson authored at least 45 papers between 2016 and 2023.

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Bibliography

2023
Communicative capital: a key resource for human-machine shared agency and collaborative capacity.
Neural Comput. Appl., August, 2023

Adaptive patch foraging in deep reinforcement learning agents.
Trans. Mach. Learn. Res., 2023

Revisiting Populations in multi-agent Communication.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Over-communicate no more: Situated RL agents learn concise communication protocols.
CoRR, 2022

Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals.
CoRR, 2022

Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts.
CoRR, 2022

The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts.
CoRR, 2022

A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning.
CoRR, 2022

Learning Robust Real-Time Cultural Transmission without Human Data.
CoRR, 2022

Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Emergent Communication at Scale.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Can language models learn from explanations in context?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Generating Diverse Realistic Laughter for Interactive Art.
CoRR, 2021

Automatic Embedding of Stories Into Collections of Independent Media.
CoRR, 2021

#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics.
CoRR, 2021

Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability.
CoRR, 2021

Symbolic Behaviour in Artificial Intelligence.
CoRR, 2021

Collaborative Storytelling with Human Actors and AI Narrators.
Proceedings of the Twelfth International Conference on Computational Creativity, 2021

Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Conceptualization and Framework of Hybrid Intelligence Systems.
CoRR, 2020

Imitating Interactive Intelligence.
CoRR, 2020

Inductive Bias and Language Expressivity in Emergent Communication.
CoRR, 2020

Rosetta Code: Improv in Any Language.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Shaping the Narrative Arc: Information-Theoretic Collaborative DialoguePaper type: Technical Paper.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Do Digital Agents Do Dada?
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

2019
Women, politics and Twitter: Using machine learning to change the discourse.
CoRR, 2019

A Human-Centered Approach to Interactive Machine Learning.
CoRR, 2019

Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue.
CoRR, 2019

Evaluating Coherence in Dialogue Systems using Entailment.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Automatically Generating Engaging Presentation Slide Decks.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2019

Human Improvised Theatre Augmented with Artificial Intelligence.
Proceedings of the 2019 ACM SIGCHI Conference on Creativity and Cognition, 2019

Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.
Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019

2018
Reactive Reinforcement Learning in Asynchronous Environments.
Frontiers Robotics AI, 2018

Augmenting Neural Response Generation with Context-Aware Topical Attention.
CoRR, 2018

Improbotics: Exploring the Imitation Game Using Machine Intelligence in Improvised Theatre.
Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

dAIrector: Automatic Story Beat Generation through Knowledge Synthesis.
Proceedings of the Joint Workshop on Intelligent Narrative Technologies and Workshop on Intelligent Cinematography and Editing co-located with 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

2017
Improvised Comedy as a Turing Test.
CoRR, 2017

Communicative Capital for Prosthetic Agents.
CoRR, 2017

Actor-Critic Reinforcement Learning with Simultaneous Human Control and Feedback.
CoRR, 2017

Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals.
Artif. Intell. Res., 2017

Improvised Theatre Alongside Artificial Intelligences.
Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

Reinforcement Learning Based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning.
CoRR, 2016


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