21 citations · 23 across the 9 of their papers we have counts for
5 papers · 1 filter
Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
Nikola Zubić, Davide Scaramuzza
Selective State-Space Models (SSMs) such as Mamba have become central to long-sequence modeling. Still, their stability is poorly understood: their state-space coefficients are mod…
Maximizing Asynchronicity in Event-based Neural Networks
Haiqing Hao, Nikola Zubić, Weihua He +3
Event cameras deliver visual data with high temporal resolution, low latency, and minimal redundancy, yet their asynchronous, sparse sequential nature challenges standard tensor-ba…
GG-SSMs: Graph-Generating State Space Models
Nikola Zubić, Davide Scaramuzza
State Space Models (SSMs) are powerful tools for modeling sequential data in computer vision and time series analysis domains. However, traditional SSMs are limited by fixed, one-d…
S7: Selective and Simplified State Space Layers for Sequence Modeling
Taylan Soydan, Nikola Zubić, Nico Messikommer +2
A central challenge in sequence modeling is efficiently handling tasks with extended contexts. While recent state-space models (SSMs) have made significant progress in this area, t…
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubić, Federico Soldá, Aurelio Sulser +1
Despite their successes, deep learning models struggle with tasks requiring complex reasoning and function composition. We present a theoretical and empirical investigation into th…