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Learning higher-order sequential structure with cloned HMMs
v1v2v3v4 (latest)

Learning higher-order sequential structure with cloned HMMs

1 May 2019
Antoine Dedieu
Nishad Gothoskar
Scott Swingle
Wolfgang Lehrach
Miguel Lazaro-Gredilla
Dileep George
ArXiv (abs)PDFHTML

Papers citing "Learning higher-order sequential structure with cloned HMMs"

9 / 9 papers shown
A Neuroscience-Inspired Dual-Process Model of Compositional Generalization
A Neuroscience-Inspired Dual-Process Model of Compositional Generalization
Alex Noviello
Claas Beger
Jacob Groner
Kevin Ellis
Weinan Sun
186
0
0
25 Jul 2025
Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models
Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models
Yifan Hao
Chenlu Ye
Chi Han
Tong Zhang
206
0
0
02 Jun 2025
Learning Successor Features with Distributed Hebbian Temporal Memory
Learning Successor Features with Distributed Hebbian Temporal Memory
E. Dzhivelikian
Petr Kuderov
Aleksandr I. Panov
373
1
0
20 Oct 2023
Schema-learning and rebinding as mechanisms of in-context learning and
  emergence
Schema-learning and rebinding as mechanisms of in-context learning and emergenceNeural Information Processing Systems (NeurIPS), 2023
Siva K. Swaminathan
Antoine Dedieu
Rajkumar Vasudeva Raju
Murray Shanahan
Miguel Lazaro-Gredilla
Dileep George
223
22
0
16 Jun 2023
Graph schemas as abstractions for transfer learning, inference, and
  planning
Graph schemas as abstractions for transfer learning, inference, and planning
J. S. Guntupalli
Rajkumar Vasudeva Raju
Shrinu Kushagra
Carter Wendelken
Daniel P. Sawyer
Ishani Deshpande
Guangyao Zhou
Miguel Lazaro-Gredilla
Dileep George
272
13
0
14 Feb 2023
Dynamic Programming in Rank Space: Scaling Structured Inference with
  Low-Rank HMMs and PCFGs
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Aaron Courville
Wei Liu
Kewei Tu
349
10
0
01 May 2022
Low-Rank Constraints for Fast Inference in Structured Models
Low-Rank Constraints for Fast Inference in Structured ModelsNeural Information Processing Systems (NeurIPS), 2022
Justin T. Chiu
Yuntian Deng
Alexander M. Rush
BDL
221
14
0
08 Jan 2022
Few-shot time series segmentation using prototype-defined infinite
  hidden Markov models
Few-shot time series segmentation using prototype-defined infinite hidden Markov models
Yazan K. Qarout
Yordan P. Raykov
Max A. Little
AI4TS
98
0
0
07 Feb 2021
Scaling Hidden Markov Language Models
Scaling Hidden Markov Language Models
Justin T. Chiu
Alexander M. Rush
BDL
222
27
0
09 Nov 2020
1
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