Fostering Digital Innovation through Inter-Organizational Collaboration between Incumbent Firms and Start-UPS. - Nihal Islam; Peter Buxmann; David Ding (ECIS, 2017)

Deep Lattice Networks and Partial Monotonic Functions. - Seungil You; David Ding; Kevin Robert Canini; Jan Pfeifer; Maya R. Gupta (NIPS, 2017)

Decoding ECoG High Gamma Power from Cellular Calcium Response using Transparent Graphene Microelectrodes. - Xin Liu 062; Chi Ren; Yichen Lu; Ryoma Hattori; Yuhan Shi; Ruoyu Zhao; David Ding; Takaki Komiyama; Duygu Kuzum (NER, 2019)

OpenSpiel: A Framework for Reinforcement Learning in Games. - Marc Lanctot; Edward Lockhart; Jean-Baptiste Lespiau; Vinícius Flores Zambaldi; Satyaki Upadhyay; Julien Pérolat; Sriram Srinivasan 005; Finbarr Timbers; Karl Tuyls; Shayegan Omidshafiei; Daniel Hennes; Dustin Morrill; et al. (CoRR, 2019)

Adapting Behaviour for Learning Progress. - Tom Schaul; Diana Borsa; David Ding; David Szepesvari; Georg Ostrovski; Will Dabney; Simon Osindero (CoRR, 2019)

Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. - David Ding; Felix Hill; Adam Santoro; Matt M. Botvinick (CoRR, 2020)

Evaluation of Durability of Transparent Graphene Electrodes Fabricated on Different Flexible Substrates for Chronic In Vivo Experiments. - David Ding; Yichen Lu; Ruoyu Zhao; Xin Liu 062; Chawina De-Eknamkul; Chi Ren; Armaghan Mehrsa; Takaki Komiyama; Duygu Kuzum (IEEE Trans. Biomed. Eng., 2020)

Attention over Learned Object Embeddings Enables Complex Visual Reasoning. - David Ding; Felix Hill; Adam Santoro; Malcolm Reynolds; Matt M. Botvinick (NeurIPS, 2021)

Perceiver IO: A General Architecture for Structured Inputs & Outputs. - Andrew Jaegle; Sebastian Borgeaud; Jean-Baptiste Alayrac; Carl Doersch; Catalin Ionescu; David Ding; Skanda Koppula; Daniel Zoran; Andrew Brock; Evan Shelhamer; Olivier J. Hénaff; Matthew M. Botvinick; et al. (ICLR, 2022)

Know your audience: specializing grounded language models with the game of Dixit. - Aaditya K. Singh; David Ding; Andrew M. Saxe; Felix Hill; Andrew K. Lampinen (CoRR, 2022)

Know your audience: specializing grounded language models with listener subtraction. - Aaditya K. Singh; David Ding; Andrew M. Saxe; Felix Hill; Andrew K. Lampinen (EACL, 2023)

Using Learned Indexes to Improve Time Series Indexing Performance on Embedded Sensor Devices. - David Ding; Ivan Carvalho; Ramon Lawrence (SENSORNETS, 2023)