Roland Fernandez

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization

Asli Celikyilmaz, Hamid Palangi, Mohit Bansal, 2021, NAACL.

Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems

R. Thomas McCoy, P. Smolensky, M. Goldrick, 2022, AI Mag..

Neurocompositional computing in human and machine intelligence: A tutorial

R. Thomas McCoy, P. Smolensky, M. Goldrick, 2022 .

Learning and analyzing vector encoding of symbolic representations pdf

Rishabh Singh, Asli Celikyilmaz, Paul Smolensky, 2018, ICLR.

Working Memory Graphs

Matthew J. Hausknecht, Adith Swaminathan, Asli Celikyilmaz, 2019, ICML.

Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving pdf

Jianfeng Gao, Jurgen Schmidhuber, Paul Smolensky, 2019, ArXiv.

Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language pdf

Jianfeng Gao, Asli Celikyilmaz, Shih-Fu Chang, 2020, ArXiv.

Differentiable Tree Operations Promote Compositional Generalization

P. Smolensky, Jianfeng Gao, Kate McCurdy, 2023, ICML.

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages

P. Smolensky, Jianfeng Gao, Asli Celikyilmaz, 2022, ArXiv.

Compositional Processing Emerges in Neural Networks Solving Math Problems

Nebojsa Jojic, Hamid Palangi, Eric Rosen, 2021, CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference.