6 citations · 6 across the 5 of their papers we have counts for
5 papers
Chasing Autonomy: Dynamic Retargeting and Control Guided RL for Performant and Controllable Humanoid Running
Zachary Olkin, William D. Compton, Ryan M. Bena +1
Humanoid robots have the promise of locomoting like humans, including fast and dynamic running. Recently, reinforcement learning (RL) controllers that can mimic human motions have…
Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
Mohyeu Hussain, David Koblah, Reiner Dizon-Paradis +1
Analog-mixed-signal (AMS) circuits are highly non-linear and operate on continuous real-world signals, making them far more difficult to model with data-driven AI than digital bloc…
Designing with Deception: ML- and Covert Gate-Enhanced Camouflaging to Thwart IC Reverse Engineering
Junling Fan, David Koblah, Domenic Forte
Integrated circuits (ICs) are essential to modern electronic systems, yet they face significant risks from physical reverse engineering (RE) attacks that compromise intellectual pr…
eXpLogic: Explaining Logic Types and Patterns in DiffLogic Networks
Stephen Wormald, David Koblah, Matheus Kunzler Maldaner +2
Constraining deep neural networks (DNNs) to learn individual logic types per node, as performed using the DiffLogic network architecture, opens the door to model-specific explanati…
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation
David Selasi Koblah, Rabin Yu Acharya, Daniel Capecci +5
Artificial intelligence (AI) and machine learning (ML) techniques have been increasingly used in several fields to improve performance and the level of automation. In recent years,…