John Lafferty

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 19

Top Topics

Network Structure

Levenberg Marquardt

Message Passing

Undirected Graph

Top Venues

Publications

Awni Altabaa, John Lafferty
Approximation of relation functions and attention mechanisms. CoRR (2024)
Awni Altabaa, Taylor Whittington Webb, Jonathan D. Cohen, John Lafferty
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers. ICLR (2024)
Awni Altabaa, John Lafferty
Disentangling and Integrating Relational and Sensory Information in Transformer Architectures. CoRR (2024)
Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. CoRR (2023)
Qi Lin, Zifan Li, John Lafferty, Ilker Yildirim
From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces. CoRR (2023)
Awni Altabaa, John Lafferty
Relational Convolutional Networks: A framework for learning representations of hierarchical relations. CoRR (2023)
Awni Altabaa, Taylor Webb, Jonathan D. Cohen, John Lafferty
Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning. CoRR (2023)
Leon Lufkin, Ashish Puri, Ganlin Song, Xinyi Zhong, John Lafferty
Emergent organization of receptive fields in networks of excitatory and inhibitory neurons. CoRR (2022)
Ganlin Song, Ruitu Xu, John Lafferty
Convergence and Alignment of Gradient Descentwith Random Back propagation Weights. CoRR (2021)
Ganlin Song, Ruitu Xu, John Lafferty
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights. NeurIPS (2021)
Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry A. Wasserman
The huge Package for High-dimensional Undirected Graph Estimation in R. CoRR (2020)
Dana Yang, John Lafferty, David Pollard
Fair quantile regression. CoRR (2019)
Ganlin Song, Zhou Fan, John Lafferty
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks. NeurIPS (2019)
Ganlin Song, Zhou Fan, John Lafferty
Surfing: Iterative optimization over incrementally trained deep networks. CoRR (2019)
Michihiro Yasunaga, John Lafferty
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. CoRR (2019)
Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty
Prediction Rule Reshaping. ICML (2018)
Yuancheng Zhu, John Lafferty
Distributed Nonparametric Regression under Communication Constraints. ICML (2018)
Chao Gao, John Lafferty
Testing Network Structure Using Relations Between Small Subgraph Probabilities. CoRR (2017)
Chao Gao, John Lafferty
Testing for Global Network Structure Using Small Subgraph Statistics. CoRR (2017)
Dennis Grinberg, John Lafferty, Daniel Dominic Sleator
A Robust Parsing Algorithm for Link Grammars. IWPT (1995)