activity
20202025
most citedContinual Learning and Catastrophic Forgetting

44 citations · 82 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2025

Temporal Chunking Enhances Recognition of Implicit Sequential Patterns

Jayanta Dey, Nicholas Soures, Miranda Gonzales +3

In this pilot study, we propose a neuro-inspired approach that compresses temporal sequences into context-tagged chunks, where each tag represents a recurring structural unit or``c…

cs.NE2024★ 4 cited

TACOS: Task Agnostic Continual Learning in Spiking Neural Networks

Nicholas Soures, Peter Helfer, Anurag Daram +2

Catastrophic interference, the loss of previously learned information when learning new information, remains a major challenge in machine learning. Since living organisms do not se…

cs.LG2024★ 44 cited

Continual Learning and Catastrophic Forgetting

Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi

This book chapter delves into the dynamics of continual learning, which is the process of incrementally learning from a non-stationary stream of data. Although continual learning i…

eess.SY2024

Probabilistic Metaplasticity for Continual Learning with Memristors

Fatima Tuz Zohora, Vedant Karia, Nicholas Soures +1

Edge devices operating in dynamic environments critically need the ability to continually learn without catastrophic forgetting. The strict resource constraints in these devices po…

cs.LG2023★ 1 cited

Design Principles for Lifelong Learning AI Accelerators

Dhireesha Kudithipudi, Anurag Daram, Abdullah M. Zyarah +9

Lifelong learning - an agent's ability to learn throughout its lifetime - is a hallmark of biological learning systems and a central challenge for artificial intelligence (AI). The…

q-bio.PE2020★ 33 cited

SIRNet: Understanding Social Distancing Measures with Hybrid Neural Network Model for COVID-19 Infectious Spread

Nicholas Soures, David Chambers, Zachariah Carmichael +5

The SARS-CoV-2 infectious outbreak has rapidly spread across the globe and precipitated varying policies to effectuate physical distancing to ameliorate its impact. In this study,…

cs.NE2020

Metaplasticity in Multistate Memristor Synaptic Networks

Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures +1

Recent studies have shown that metaplastic synapses can retain information longer than simple binary synapses and are beneficial for continual learning. In this paper, we explore t…