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

Apr 21, 2022

Energy & Materials

The case for data science in experimental chemistry: examples and recommendations

Apr 8, 2022

Energy & Materials

High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery

Mar 18, 2022

Energy & Materials

Agents for sequential learning using multiple-fidelity data

Mar 7, 2022

Energy & Materials

Modeling the Morphological Effects of Catalyst and Ionomer Loading on Porous Carbon Supports of PEMFC

Mar 4, 2022

Energy & Materials

Polymer Structure Predictor (PSP): A Python Toolkit for Predicting Atomic-Level Structural Models for a Range of Polymer Geometries

Feb 21, 2022

Energy & Materials

Artificial intelligence for materials spectroscopy

Feb 1, 2022

Energy & Materials

Fast charging design for Lithium-ion batteries via Bayesian optimization

Jan 13, 2022

Energy & Materials

Toward autonomous materials research: Recent progress and future challenges

Dec 22, 2021

Energy & Materials

Machine learning–accelerated design and synthesis of polyelemental heterostructures

Dec 15, 2021

Energy & Materials

Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols