7 papers
From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
Alan T. L. Bacellar, Sathvik Chemudupati, Shashank Nag +4
The deployment of deep neural networks (DNNs) in safety-critical edge environments necessitates robustness against hardware-induced bit-flip errors. While empirical studies indicat…
A detailed algorithmic study on a reuse-aware, near memory, all-digital Ising machine
Siddhartha Raman Sundara Raman, Lizy K. John, Jaydeep P. Kulkarni
Recently, nature-inspired computing approaches have gained significant attention for solving difficult optimization problems, particularly through Ising machines for NP-complete ap…
Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles
Lara Sá Neves, Afonso Lourenço, Lizy K. John +1
Detecting concept drift in high-speed data streams remains challenging, particularly when models must operate on unlabeled data and avoid false alarms caused by benign shifts. Whil…
LL-ViT: Edge Deployable Vision Transformers with Look Up Table Neurons
Shashank Nag, Alan T. L. Bacellar, Zachary Susskind +9
Vision Transformers have been tremendously successful in computer vision tasks. However, their large computational, memory, and energy demands are a challenge for edge inference on…
HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
Avinash Kumar, Shashank Nag, Jason Clemons +2
Early-Exit Large Language Models (EE-LLMs) enable high throughput inference by allowing tokens to exit early at intermediate layers. However, their throughput is limited by the com…
Differentiable Weightless Neural Networks
Alan T. L. Bacellar, Zachary Susskind, Mauricio Breternitz +4
We introduce the Differentiable Weightless Neural Network (DWN), a model based on interconnected lookup tables. Training of DWNs is enabled by a novel Extended Finite Difference te…