Alejandro Ribeiro

A Constrained Optimization Perspective of Unrolled Transformers

A Spectral Characterization of Generalization in GCN: Escaping the Curse of Dimensionality

Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces

Composition and Alignment of Diffusion Models using Constrained Learning

Alignment of Large Language Models with Constrained Learning

GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation

GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation

LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning

A Manifold Perspective on the Statistical Generalization of Graph Neural Networks

A Manifold Perspective on the Statistical Generalization of Graph Neural Networks

Learning Efficient Positional Encodings with Graph Neural Networks

LoRTA: Low Rank Tensor Adaptation of Large Language Models