Results 31 to 40 of about 687,122 (255)

On the State-Space Model of Unawareness

, 2023
working paper, please reference this version in further ...
openaire   +2 more sources

Fad Models with Markov Switching Hetroskedasticity: Decomposing Tehran Stock Exchange Return into Permanent and Transitory Components [PDF]

فصلنامه پژوهش‌های اقتصادی ایران, 2018
In this paper, the stochastic behavior of Tehran stock exchange return index (TEDPIX) is examined by using unobserved component Markov switching model (UC-MS) during the period 3/27/2010 - 8/3/2015.
Teimour Mohammadi, Abdolsadeh Neisi, Mahnoush Abdollahmilani, Sahar Havaj   +3 more
doaj   +1 more source

The Illusion of State in State-Space Models

CoRR
State-space models (SSMs) have emerged as a potential alternative architecture for building large language models (LLMs) compared to the previously ubiquitous transformer architecture. One theoretical weakness of transformers is that they cannot express certain kinds of sequential computation and state tracking (Merrill & Sabharwal, 2023), which ...
William Merrill, Jackson Petty, Ashish Sabharwal   +2 more
openaire   +4 more sources

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

Stability margins for generalized fractional two-dimensional state space models [PDF]

Archives of Control Sciences
In this paper, a new class of bidimensional fractional linear systems is considered. The stability radius of the disturbed system is described according to the H ∞ norm.
Souad Salmi, Djillali Bouagada
doaj   +1 more source

Oscillatory State-Space Models

CoRR
ICLR 2025 (Oral)
T. Konstantin Rusch, Daniela Rus
openaire   +4 more sources

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Advancing brain-machine interfaces: Moving beyond linear state space models

Frontiers in Systems Neuroscience, 2015
Advances in recent years have dramatically improved output control by Brain-Machine Interfaces (BMIs). Such devices nevertheless remain robotic and limited in their movements compared to normal human motor performance.
Adam G Rouse, Adam G Rouse, Adam G Rouse, Marc H Schieber, Marc H Schieber, Marc H Schieber   +5 more
doaj   +1 more source

Slot State Space Models

Advances in Neural Information Processing Systems 37
Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeling problems, the underlying process is inherently modular and it is of interest to have inductive biases that mimic this modular structure.
Jindong Jiang, Fei Deng 0001, Gautam Singh, Minseung Lee, Sungjin Ahn   +4 more
openaire   +4 more sources

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source