Minseon Gwak

2 accepted papers

2026

ConvT3: Structured State Kernels for Convolutional State Space Models

Jaeyoung Hong, Yun Young Choi, Joohwan Ko, Minseon Gwak

ICLR 2026poster

Modeling long spatiotemporal sequences requires capturing both complex spatial correlations and temporal dependencies. Convolutional State Space Models (ConvSSMs) have been proposed to incorporate spatial modeling in State Space Models (SSMs) using the convolution of tensor-valued states and kernels…

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2024

Layer-Adaptive State Pruning for Deep State Space Models

Minseon Gwak, Seongrok Moon, Joohwan Ko, PooGyeon Park

NeurIPS 2024poster

Due to the lack of state dimension optimization methods, deep state space models (SSMs) have sacrificed model capacity, training search space, or stability to alleviate computational costs caused by high state dimensions. In this work, we provide a structured pruning method for SSMs, Layer-Adaptive…

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