7 citations · 12 across the 11 of their papers we have counts for
11 papers
Intent-Level Quantum Programming with Assertion-Guided Execution and Inspectable Intermediate Representation
Ilesh Vora, Srikanth Thudumu, John Carlson +2
Quantum programs are difficult to validate: circuits are typically expressed as imperative gate sequences with limited inspectability, execution modalities must be selected manuall…
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
Hung Du, Hy Nguyen, Srikanth Thudumu +2
Connected and autonomous vehicles across land, water, and air must often operate in dynamic, unpredictable environments with limited communication, no centralized control, and part…
The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments
Srikanth Thudumu, Hy Nguyen, Hung Du +6
Neural Architecture Search (NAS) aims to automate the design of deep neural networks. However, existing NAS techniques often focus on maximising accuracy, neglecting model efficien…
Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction
Hy Nguyen, Srikanth Thudumu, Hung Du +2
Next-frame prediction in videos is crucial for applications such as autonomous driving, object tracking, and motion prediction. The primary challenge in next-frame prediction lies…
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
Hung Du, Srikanth Thudumu, Hy Nguyen +2
Decentralized Multi-Agent Reinforcement Learning (Dec-MARL) has emerged as a pivotal approach for addressing complex tasks in dynamic environments. Existing Multi-Agent Reinforceme…
CSAOT: Cooperative Multi-Agent System for Active Object Tracking
Hy Nguyen, Bao Pham, Hung Du +3
Object Tracking is essential for many computer vision applications, such as autonomous navigation, surveillance, and robotics. Unlike Passive Object Tracking (POT), which relies on…
Local Control Networks (LCNs): Optimizing Flexibility in Neural Network Data Pattern Capture
Hy Nguyen, Duy Khoa Pham, Srikanth Thudumu +3
The widespread use of Multi-layer perceptrons (MLPs) often relies on a fixed activation function (e.g., ReLU, Sigmoid, Tanh) for all nodes within the hidden layers. While effective…
Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization
Hy Nguyen, Nguyen Hung Nguyen, Nguyen Linh Bao Nguyen +4
The Hierarchical Navigable Small World (HNSW) algorithm is widely used for approximate nearest neighbor (ANN) search, leveraging the principles of navigable small-world graphs. How…
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
Hung Du, Srikanth Thudumu, Rajesh Vasa +1
Research interest in autonomous agents is on the rise as an emerging topic. The notable achievements of Large Language Models (LLMs) have demonstrated the considerable potential to…
Smart Home Goal Feature Model -- A guide to support Smart Homes for Ageing in Place
Irini Logothetis, Priya Rani, Shangeetha Sivasothy +2
Smart technologies are significant in supporting ageing in place for elderly. Leveraging Artificial Intelligence (AI) and Machine Learning (ML), it provides peace of mind, enabling…
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations
Anj Simmons, Rajesh Vasa, Antonio Giardina
This paper demonstrates our vision for knowledge graphs that assist machines to reason about the cause of signals observed by sensors. We show how the approach allows for construct…