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Gasper Begus
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2020 – today
- 2023
- [c3]Gasper Begus
, Alan Zhou
Articulation GAN: Unsupervised Modeling of Articulatory Learning. ICASSP 2023: 1-5 - [i16]Gasper Begus
Approaching an unknown communication system by latent space exploration and causal inference. CoRR abs/2303.10931 (2023) - [i15]Russell A. Poldrack, Thomas Lu, Gasper Begus
AI-assisted coding: Experiments with GPT-4. CoRR abs/2304.13187 (2023) - [i14]Gasper Begus
Large Linguistic Models: Analyzing theoretical linguistic abilities of LLMs. CoRR abs/2305.00948 (2023) - [i13]Gasper Begus
Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks. CoRR abs/2305.01626 (2023) - [i12]Maksymilian Dabkowski, Gasper Begus
Large language models and (non-)linguistic recursion. CoRR abs/2306.07195 (2023) - [i11]Gasper Begus
CiwaGAN: Articulatory information exchange. CoRR abs/2309.07861 (2023) - 2022
- [j5]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: 101244 (2022) - [j4]Gasper Begus
Interpreting Intermediate Convolutional Layers of Generative CNNs Trained on Waveforms. IEEE ACM Trans. Audio Speech Lang. Process. 30: 3214-3229 (2022) - [c2]Gasper Begus
Interpreting Intermediate Convolutional Layers In Unsupervised Acoustic Word Classification. ICASSP 2022: 8207-8211 - [c1]Gasper Begus
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: 5298-5302 - [i10]Gasper Begus
Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data. CoRR abs/2203.11476 (2022) - [i9]Gasper Begus
Articulation GAN: Unsupervised modeling of articulatory learning. CoRR abs/2210.15173 (2022) - 2021
- [j3]Gasper Begus
CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks. Neural Networks 139: 305-325 (2021) - [j2]Gasper Begus
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication. Trans. Assoc. Comput. Linguistics 9: 1180-1196 (2021) - [i8]Jacob Andreas, Gasper Begus
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales. CoRR abs/2104.08614 (2021) - [i7]Gasper Begus
Interpreting intermediate convolutional layers of CNNs trained on raw speech. CoRR abs/2104.09489 (2021) - [i6]Gasper Begus, Alan Zhou:
Interpreting intermediate convolutional layers in unsupervised acoustic word classification. CoRR abs/2110.02375 (2021) - 2020
- [j1]Gasper Begus
Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks. Frontiers Artif. Intell. 3: 44 (2020) - [i5]Gasper Begus
CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks. CoRR abs/2006.02951 (2020) - [i4]Gasper Begus:
Generative Adversarial Phonology: Modeling unsupervised phonetic and phonological learning with neural networks. CoRR abs/2006.03965 (2020) - [i3]Gasper Begus
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication. CoRR abs/2009.06110 (2020) - [i2]Gasper Begus:
Local and non-local dependency learning and emergence of rule-like representations in speech data by Deep Convolutional Generative Adversarial Networks. CoRR abs/2009.12711 (2020) - [i1]Gasper Begus
Artificial sound change: Language change and deep convolutional neural networks in iterative learning. CoRR abs/2011.05463 (2020)
Coauthor Index
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