Adam Lerer

Research Engineer

Facebook AI Research

I am a research engineer at Facebook AI Research, where I work on infrastructure and algorithms for machine learning. Prior to joining Facebook, I worked at D. E. Shaw Research, where I developed software and algorithms for Anton, a special-purpose supercomputer for molecular dynamics simulation. I hold a Bachelor of Science degree in computer science and physics and a Master of Engineering degree in computer science from MIT.

Interests

High-performance computing, parallel algorithms, numerical methods, and hardware/software co-design

Google Scholar Profile
Google Scholar Profile

Latest Publications

Robust Multi-agent Counterfactual Prediction

Alexander Peysakhovich, Christian Kroer, Adam Lerer

NeurIPS - December 10, 2019

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

NeurIPS - December 2, 2019

Deep Counterfactual Regret Minimization

Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm

ICML - June 4, 2019

Learning Existing Social Conventions via Observationally Augmented Self-Play

Adam Lerer, Alexander Peysakhovich

AIES - April 3, 2019

PyTorch-BigGraph: A Large-scale Graph Embedding System

Adam Lerer, Ledell Wu, Jiajun Shen, Luca Wehrstedt, Abhijit Bose, Alex Peysakhovich

SysML - April 1, 2019

Composable Planning with Attributes

Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam

ICML 2018 - July 9, 2018

Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information

Alexander Peysakhovich, Adam Lerer

ICLR 2018 - April 30, 2018

Towards AI that can solve social dilemmas

Alexander Peysakhovich, Adam Lerer

AAAI MALIC - April 4, 2018

A MultiPath Network for Object Detection

Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollar

BMVC - September 18, 2016

Learning Physical Intuition of Block Towers by Example

Adam Lerer, Sam Gross, Rob Fergus

ICML 2016 - June 18, 2016

News

Open-sourcing PyTorch-BigGraph for faster embeddings of extremely large graphs

April 2, 2019

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