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Found 7 papers, 0 papers with code
Analytical Characterization of Epileptic Dynamics in a Bistable System
In this paper, we employ a bistable model, where a stable equilibrium and a stable limit cycle coexist, to describe epileptic dynamics.
Stochastic Contextual Bandits with Long Horizon Rewards
The growing interest in complex decision-making and language modeling problems highlights the importance of sample-efficient learning over very long horizons.
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring
However, it is challenging to develop a single-lead-based ECG interpretation model for multiple diseases diagnosis due to the lack of some key disease information.
Representation Learning for Context-Dependent Decision-Making
Humans are capable of adjusting to changing environments flexibly and quickly.
Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation
Cluster synchronization underlies various functions in the brain.
Non-Stationary Representation Learning in Sequential Linear Bandits
In this paper, we study representation learning for multi-task decision-making in non-stationary environments.
Phase-Amplitude Coupling in Neuronal Oscillator Networks
Phase-amplitude coupling (PAC) describes the phenomenon where the power of a high-frequency oscillation evolves with the phase of a low-frequency one.
