2024 "state-space models" Papers
13 papers found
BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition
Shikai Fang, Qingsong Wen, Yingtao Luo et al.
ICML 2024oralarXiv:2308.14906
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
Jon Saad-Falcon, Daniel Y Fu, Simran Arora et al.
ICML 2024posterarXiv:2402.07440
Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks
Jong Ho Park, Jaden Park, Zheyang Xiong et al.
ICML 2024posterarXiv:2402.04248
Modeling Language Tokens as Functionals of Semantic Fields
Zhengqi Pei, Anran Zhang, Shuhui Wang et al.
ICML 2024poster
Online Variational Sequential Monte Carlo
Alessandro Mastrototaro, Jimmy Olsson
ICML 2024posterarXiv:2312.12616
Outlier-robust Kalman Filtering through Generalised Bayes
Gerardo Duran-Martin, Matias Altamirano, Alex Shestopaloff et al.
ICML 2024posterarXiv:2405.05646
PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis, john leth, Zheng-Hua Tan et al.
ICML 2024poster
Recurrent Distance Filtering for Graph Representation Learning
Yuhui Ding, Antonio Orvieto, Bobby He et al.
ICML 2024posterarXiv:2312.01538
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
Shida Wang, Qianxiao Li
ICML 2024posterarXiv:2311.14495
State-Free Inference of State-Space Models: The *Transfer Function* Approach
Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro et al.
ICML 2024poster
The Illusion of State in State-Space Models
William Merrill, Jackson Petty, Ashish Sabharwal
ICML 2024posterarXiv:2404.08819
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Tri Dao, Albert Gu
ICML 2024posterarXiv:2405.21060
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues
Antonio Orvieto, Soham De, Caglar Gulcehre et al.
ICML 2024posterarXiv:2307.11888