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Ethan Caballero

Research Student at Mila - Quebec Artificial Intelligence Institute

Ethan Caballero is a graduate student at Mila - Quebec Artificial Intelligence Institute.1 His research focuses on out-of-distribution generalization, robustness, invariance and, most recently, on neural scaling laws towards forecasting neural network capabilities and alignment properties with increasing data, model size and compute.3 He is currently working mostly with David Krueger, Irina Rish, and Blake Richards.34

Caballero is also a Machine Learning Researcher and Developer.1 His email addresses are [email protected] and [email protected], where x = ethan, y = victor, and z = caballero.1

Caballero's experiences include:

  • Graduate Student at Mila - Quebec Artificial Intelligence Institute From September 2020 to Present1
  • Research Student at Mila - Quebec Artificial Intelligence Institute Greater Montreal Metropolitan Area2
  • Student Researcher at Google DeepMind From July 2023 to December 20231
  • AI / Machine_Learning Engineer at Graphcore From January 2018 to May 2018, where he implemented, benchmarked, and optimized deep learning models on IPUs1

Caballero is proficient in English and Python, with professional working proficiency in C++.1 He also knows Spanish, Latin, Lua, VHDL, Assembly (x86), Mathematica, Javascript, RNA/DNA, Max/MSP, and LaTeX.1

Ethan Caballero proposed the use of the Broken Neural Scaling Laws as the universal functional form for forecasting scaling behaviors of neural networks.3

Highlights

‪Ethan Caballero‬ - ‪Google Scholar‬
Jan 1 · mila.quebec
Ethan Caballero - Mila Quebec
Ethan Caballero - Mila Quebec
Ethan Caballero
Ethan Caballero

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Ethan Caballero
Ethan Caballero, photo 1
Ethan Caballero, photo 2
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Location

Greater Montreal Metropolitan Area