Publications | Toyota Research Institute

Featured Publications

Human Interactive Driving

Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing

Large Behavior Models

Score Distillation via Reparametrized DDIM

Human-Centered AI

Understanding the Cognitive Complexity in Language Elicited by Product Images

All Publications

Jan 29, 2020

Energy & Materials

Benchmarking the acceleration of materials discovery by sequential learning

Jan 1, 2020

Energy & Materials

BEEP: A Python library for Battery Evaluation and Early Prediction

Dec 23, 2019

Energy & Materials

The Materials Research Platform: Defining the Requirements from User Stories

Aug 31, 2019

Energy & Materials

Efficient Pourbaix diagrams of many‑element compounds

Aug 5, 2019

Energy & Materials

Relationship between mechanical strain and chemical composition in LiFePO4 via 4D-scanning transmission electron microscopy and scanning transmission X-ray microscopy

Aug 5, 2019

Energy & Materials

py4DSTEM: Open Source Software for 4D-STEM Data Analysis

May 1, 2019

Energy & Materials

Network analysis of synthesizable materials discovery

Apr 24, 2019

Energy & Materials

CRYSTAL: a multi‑agent AI system for automated mapping of materials' crystal structures

Apr 10, 2019

Energy & Materials

Genetic algorithms for computational materials discovery accelerated by machine learning

Mar 25, 2019

Energy & Materials

Data‑Driven Prediction of Battery Cycle Life Before Capacity Degradation