Gasper Begus

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 24

Top Topics

Speech Recognition

Information Exchange

Iterative Learning

Top Venues

Frontiers Artif. Intell.

Publications

Gasper Begus, Andrej Leban, Shane Gero
Approaching an unknown communication system by latent space exploration and causal inference. CoRR (2023)
Gasper Begus, Thomas Lu, Zili Wang
Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks. CoRR (2023)
Maksymilian Dabkowski, Gasper Begus
Large language models and (non-)linguistic recursion. CoRR (2023)
Gasper Begus, Maksymilian Dabkowski, Ryan Rhodes
Large Linguistic Models: Analyzing theoretical linguistic abilities of LLMs. CoRR (2023)
Russell A Poldrack, Thomas Lu, Gasper Begus
AI-assisted coding: Experiments with GPT-4. CoRR (2023)
Gasper Begus, Thomas Lu, Alan Zhou, Peter Wu, Gopala Krishna Anumanchipalli
CiwaGAN: Articulatory information exchange. CoRR (2023)
Gasper Begus, Alan Zhou, Peter Wu, Gopala Krishna Anumanchipalli
Articulation GAN: Unsupervised Modeling of Articulatory Learning. ICASSP (2023)
Gasper Begus, Alan Zhou
Interpreting Intermediate Convolutional Layers of Generative CNNs Trained on Waveforms. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Gasper Begus, Alan Zhou, Peter Wu, Gopala Krishna Anumanchipalli
Articulation GAN: Unsupervised modeling of articulatory learning. CoRR (2022)
Gasper Begus, Alan Zhou
Interpreting Intermediate Convolutional Layers In Unsupervised Acoustic Word Classification. ICASSP (2022)
Gasper Begus, Alan Zhou
Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data. CoRR (2022)
Gasper Begus, Alan Zhou
Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data. INTERSPEECH (2022)
Gasper Begus
Local and non-local dependency learning and emergence of rule-like representations in speech data by deep convolutional generative adversarial networks. Comput. Speech Lang. 71 (2022)
Jacob Andreas, Gasper Begus, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri, Daniela Rus, Pratyusha Sharma, Dan Tchernov, Pernille Tønnesen, Antonio Torralba, Daniel M. Vogt, Robert J. Wood
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales. CoRR (2021)
Gasper Begus
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication. Trans. Assoc. Comput. Linguistics 9 (2021)
Gasper Begus
CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks. Neural Networks 139 (2021)
Gasper Begus, Alan Zhou
Interpreting intermediate convolutional layers in unsupervised acoustic word classification. CoRR (2021)
Gasper Begus, Alan Zhou
Interpreting intermediate convolutional layers of CNNs trained on raw speech. CoRR (2021)
Gasper Begus
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication. CoRR (2020)
Gasper Begus
Artificial sound change: Language change and deep convolutional neural networks in iterative learning. CoRR (2020)
Gasper Begus
Local and non-local dependency learning and emergence of rule-like representations in speech data by Deep Convolutional Generative Adversarial Networks. CoRR (2020)
Gasper Begus
Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks. Frontiers Artif. Intell. 3 (2020)
Gasper Begus
CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks. CoRR (2020)
Gasper Begus
Generative Adversarial Phonology: Modeling unsupervised phonetic and phonological learning with neural networks. CoRR (2020)