2 citations · 6 across the 8 of their papers we have counts for
8 papers
Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
Saptarshi Nath, Christos Peridis, Eseoghene Benjamin +7
Agentic AI aims to create systems that set their own goals, adapt proactively to change, and refine behavior through continuous experience. Recent advances suggest that, when facin…
Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks
Dylan Adams, Magda Zajaczkowska, Ashiq Anjum +2
Despite basic differences between Spiking Neural Networks (SNN) and Artificial Neural Networks (ANN), most research on SNNs involve adapting ANN-based methods for SNNs. Pruning (dr…
Optimisation of Pulse Waveforms for Qubit Gates using Deep Learning
Zachary Fillingham, Hossein Nevisi, Shirin Dora
In this paper, we propose a novel method using Deep Neural Networks (DNNs) to optimise the parameters of pulse waveforms used for manipulating qubit states, resulting in high fidel…
Towards Improved Imbalance Robustness in Continual Multi-Label Learning with Dual Output Spiking Architecture (DOSA)
Sourav Mishra, Shirin Dora, Suresh Sundaram
Algorithms designed for addressing typical supervised classification problems can only learn from a fixed set of samples and labels, making them unsuitable for the real world, wher…
Deep Predictive Coding with Bi-directional Propagation for Classification and Reconstruction
Senhui Qiu, Saugat Bhattacharyya, Damien Coyle +1
This paper presents a new learning algorithm, termed Deep Bi-directional Predictive Coding (DBPC) that allows developing networks to simultaneously perform classification and recon…
A Decentralized Spike-based Learning Framework for Sequential Capture in Discrete Perimeter Defense Problem
Mohammed Thousif, Shridhar Velhal, Suresh Sundaram +1
This paper proposes a novel Decentralized Spike-based Learning (DSL) framework for the discrete Perimeter Defense Problem (d-PDP). A team of defenders is operating on the perimeter…