"Dictionary Wars" (abstract only): an inverted, leaderboard-driven project for learning dictionary data structures. - Kuba Karpierz; Joel Kitching; Brendan Shillingford; Elizabeth Ann Patitsas; Steven A. Wolfman (SIGCSE, 2013)

LipNet: Sentence-level Lipreading. - Yannis M. Assael; Brendan Shillingford; Shimon Whiteson; Nando de Freitas (CoRR, 2016)

Cortical microcircuits as gated-recurrent neural networks. - Rui Ponte Costa; Yannis M. Assael; Brendan Shillingford; Nando de Freitas; Tim P. Vogels (NIPS, 2017)

Recovering Missing Characters in Old Hawaiian Writing. - Brendan Shillingford; Oiwi Parker Jones (EMNLP, 2018)

Large-Scale Visual Speech Recognition. - Brendan Shillingford; Yannis M. Assael; Matthew W. Hoffman; Thomas Paine; Cían Hughes; Utsav Prabhu; Hank Liao; Hasim Sak; Kanishka Rao; Lorrayne Bennett; Marie Mulville; Ben Coppin; et al. (CoRR, 2018)

Recurrent Neural Network Transducer for Audio-Visual Speech Recognition. - Takaki Makino; Hank Liao; Yannis M. Assael; Brendan Shillingford; Basilio Garcia; Otavio Braga; Olivier Siohan (ASRU, 2019)

Sample Efficient Adaptive Text-to-Speech. - Yutian Chen 001; Yannis M. Assael; Brendan Shillingford; David Budden; Scott E. Reed; Heiga Zen; Quan Wang; Luis C. Cobo; Andrew Trask; Ben Laurie; Çaglar Gülçehre; Aäron van den Oord; et al. (ICLR (Poster), 2019)

Large-Scale Visual Speech Recognition. - Brendan Shillingford; Yannis M. Assael; Matthew W. Hoffman; Thomas Paine; Cían Hughes; Utsav Prabhu; Hank Liao; Hasim Sak; Kanishka Rao; Lorrayne Bennett; Marie Mulville; Misha Denil; et al. (INTERSPEECH, 2019)

Speech Bandwidth Extension with Wavenet. - Archit Gupta; Brendan Shillingford; Yannis M. Assael; Thomas C. Walters (WASPAA, 2019)

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. - Oana-Maria Camburu; Brendan Shillingford; Pasquale Minervini; Thomas Lukasiewicz; Phil Blunsom (ACL, 2020)

Large-scale multilingual audio visual dubbing. - Yi Yang 007; Brendan Shillingford; Yannis M. Assael; Miaosen Wang; Wendi Liu; Yutian Chen 001; Yu Zhang; Eren Sezener; Luis C. Cobo; Misha Denil; Yusuf Aytar; Nando de Freitas (CoRR, 2020)

Interactive decoding of words from visual speech recognition models. - Brendan Shillingford; Yannis M. Assael; Misha Denil (CoRR, 2021)

More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech. - Michael Hassid; Michelle Tadmor Ramanovich; Brendan Shillingford; Miaosen Wang; Ye Jia; Tal Remez (CVPR, 2022)

Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text. - Oiwi Parker Jones; Brendan Shillingford (CoRR, 2022)

Restoring and attributing ancient texts using deep neural networks. - Yannis M. Assael; Thea Sommerschield; Brendan Shillingford; Mahyar Bordbar; John Pavlopoulos; Marita Chatzipanagiotou; Ion Androutsopoulos; Jonathan Prag; Nando de Freitas (Nat., 2022)

The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning. - Dulhan Jayalath; Gilad Landau; Brendan Shillingford; Mark W. Woolrich; Oiwi Parker Jones (CoRR, 2024)

The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset. - Gilad Landau; Miran Özdogan; Gereon Elvers; Francesco Mantegna; Pratik Somaiya; Dulhan Jayalath; Luisa Kurth; Teyun Kwon; Brendan Shillingford; Gregory Farquhar; Minqi Jiang; Karim Jerbi; et al. (CoRR, 2025)

Contextualizing ancient texts with generative neural networks. - Yannis M. Assael; Thea Sommerschield; Alison Cooley; Brendan Shillingford; John Pavlopoulos; Priyanka Suresh; Bailey Herms; Justin Grayston; Benjamin Maynard; Nicholas Dietrich; Robbe Wulgaert; Jonathan Prag; et al. (Nat., 2025)