John Lafferty - RankMe

26 papers A* 6Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision. CoRR Awni Altabaa, Omar Montasser, John Lafferty
2025	A*	`conf`	Disentangling and Integrating Relational and Sensory Information in Transformer Architectures. ICML Awni Altabaa, John Lafferty
2025	J	`jnl`	Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination. CoRR Ilias Diakonikolas, Chao Gao, Daniel M. Kane, John Lafferty, Ankit Pensia
2025	J	`jnl`	Unlocking Out-of-Distribution Generalization in Transformers via Recursive Latent Space Reasoning. CoRR Awni Altabaa, Siyu Chen, John Lafferty, Zhuoran Yang
2024	A*	`conf`	Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers. ICLR Awni Altabaa, Taylor Whittington Webb, Jonathan D. Cohen, John Lafferty
2024	J	`jnl`	Approximation of relation functions and attention mechanisms. CoRR Awni Altabaa, John Lafferty
2024	J	`jnl`	Disentangling and Integrating Relational and Sensory Information in Transformer Architectures. CoRR Awni Altabaa, John Lafferty
2024	J	`jnl`	Learning Hierarchical Relational Representations through Relational Convolutions. Trans. Mach. Learn. Res. Awni Altabaa, John Lafferty
2023	J	`jnl`	Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning. CoRR Awni Altabaa, Taylor W. Webb, Jonathan D. Cohen, John Lafferty
2023	J	`jnl`	From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces. CoRR Qi Lin, Zifan Li, John Lafferty, Ilker Yildirim
2023	J	`jnl`	Relational Convolutional Networks: A framework for learning representations of hierarchical relations. CoRR Awni Altabaa, John Lafferty
2023	J	`jnl`	The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. CoRR Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen
2022	J	`jnl`	Emergent organization of receptive fields in networks of excitatory and inhibitory neurons. CoRR Leon Lufkin, Ashish Puri, Ganlin Song, Xinyi Zhong, John Lafferty
2021	A*	`conf`	Convergence and Alignment of Gradient Descent with Random Backpropagation Weights. NeurIPS Ganlin Song, Ruitu Xu, John Lafferty
2021	J	`jnl`	Convergence and Alignment of Gradient Descentwith Random Back propagation Weights. CoRR Ganlin Song, Ruitu Xu, John Lafferty
2020	J	`jnl`	The huge Package for High-dimensional Undirected Graph Estimation in R. CoRR Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry A. Wasserman
2019	J	`jnl`	Fair quantile regression. CoRR Dana Yang, John Lafferty, David Pollard
2019	A*	`conf`	Surfing: Iterative Optimization Over Incrementally Trained Deep Networks. NeurIPS Ganlin Song, Zhou Fan, John Lafferty
2019	J	`jnl`	Surfing: Iterative optimization over incrementally trained deep networks. CoRR Ganlin Song, Zhou Fan, John Lafferty
2019	J	`jnl`	TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. CoRR Michihiro Yasunaga, John Lafferty
2018	A*	`conf`	Distributed Nonparametric Regression under Communication Constraints. ICML Yuancheng Zhu, John Lafferty
2018	A*	`conf`	Prediction Rule Reshaping. ICML Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty
2017	J	`jnl`	Testing Network Structure Using Relations Between Small Subgraph Probabilities. CoRR Chao Gao, John Lafferty
2017	J	`jnl`	Testing for Global Network Structure Using Small Subgraph Statistics. CoRR Chao Gao, John Lafferty
2006	—	`ch.`	Graph Kernels by Spectral Transforms. Semi-Supervised Learning Xiaojin Zhu, Jaz S. Kandola, John Lafferty, Zoubin Ghahramani
1995	—	`conf`	A Robust Parsing Algorithm for Link Grammars. IWPT Dennis Grinberg, John Lafferty, Daniel Dominic Sleator