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M. Apolinario

5 papers hereh-index 583 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.NE1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20192025
collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning

Ankita Awasthi, Marco Apolinario, Kaushik Roy

In Online Continual Learning (OCL), a neural network sequentially learns from a non-stationary data stream in a single-pass with access only to a limited memory replay buffer. This…

cs.LG2025

Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning

Arani Roy, Marco P. Apolinario, Shristi Das Biswas +1

Training deep neural networks (DNNs) with backpropagation (BP) achieves state-of-the-art accuracy but requires global error propagation and full parameterization, leading to substa…

cs.LG2025

LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning

Marco Paul E. Apolinario, Kaushik Roy

On-device learning is essential for personalization, privacy, and long-term adaptation in resource-constrained environments. Achieving this requires efficient learning, both fine-t…

cs.LG2024

CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning

Marco Paul E. Apolinario, Sakshi Choudhary, Kaushik Roy

Continual learning (CL) - the ability to progressively acquire and integrate new concepts - is essential to intelligent systems to adapt to dynamic environments. However, deep neur…

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