10 citations · 26 across the 21 of their papers we have counts for
9 papers · 1 filter
Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study
Andrew Hamara, Greg Hamerly, Pablo Rivas +1
Modern chess engines achieve superhuman performance through deep tree search and regressive evaluation, while human players rely on intuition to select candidate moves followed by…
Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration
Tianqi Ding, Dawei Xiang, Pablo Rivas +1
Neural Radiance Fields (NeRF) have become a popular 3D reconstruction approach in recent years. While they produce high-quality results, they also demand lengthy training times, of…
Exploring Visual Embedding Spaces Induced by Vision Transformers for Online Auto Parts Marketplaces
Cameron Armijo, Pablo Rivas
This study examines the capabilities of the Vision Transformer (ViT) model in generating visual embeddings for images of auto parts sourced from online marketplaces, such as Craigs…
Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations
Pablo Rivas, Gisela Bichler, Tomas Cerny +2
Unbiased representation learning is still an object of study under specific applications and contexts. Novel architectures are usually crafted to resolve particular problems using…
From Latent to Engine Manifolds: Analyzing ImageBind's Multimodal Embedding Space
Andrew Hamara, Pablo Rivas
This study investigates ImageBind's ability to generate meaningful fused multimodal embeddings for online auto parts listings. We propose a simplistic embedding fusion workflow tha…
Image-Based Leopard Seal Recognition: Approaches and Challenges in Current Automated Systems
Jorge Yero Salazar, Pablo Rivas, Renato Borras-Chavez +1
This paper examines the challenges and advancements in recognizing seals within their natural habitats using conventional photography, underscored by the emergence of machine learn…
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning
Maisha Binte Rashid, Pablo Rivas
Multimodal machine learning models that combine visual and textual data are increasingly being deployed in critical applications, raising significant safety and security concerns d…
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing
Nurul Rafi, Pablo Rivas
Research in neural models inspired by mammal's visual cortex has led to many spiking neural networks such as pulse-coupled neural networks (PCNNs). These models are oscillating, sp…
A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data
Nurul Rafi, Pablo Rivas
Dust storms are associated with certain respiratory illnesses across different areas in the world. Researchers have devoted time and resources to study the elements surrounding dus…