Eddie Calleja — accepted AI-conference papers

2026

Scaling Laws and Architectural Frontiers in Metagenomic Foundation Models

Geraldene Munsamy, Gavin Ayres, Jérémie DONA, Carla Greco, Daniel P Anderson, Srijani Sridhar +19

ICML 2026poster

Foundation models for genomics have the potential to revolutionize therapeutic design, yet the optimal architectural choices for modeling the vast and diverse distribution of metagenomic data remain under-explored. In this work, we present the machine learning methodology behind MODEL, a family of m…

Cited by 0 Source ↗Scholar ↗

2020

DeepRacer: Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning

Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare +7

ICRA 2020poster

DeepRacer is a platform for end-to-end experimentation with RL and can be used to systematically investigate the key challenges in developing intelligent control systems. Using the platform, we demonstrate how a 1/18th scale car can learn to drive autonomously using RL with a monocular camera. It is…

Cited by 76 Source ↗Scholar ↗