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

Aug 10, 2022

Energy & Materials

Solving inorganic crystal structures from X-ray powder diffraction using a generative first-principles framework

Jul 13, 2022

Energy & Materials

Reflections on one million compounds in the open quantum materials database (OQMD)

Jul 13, 2022

Energy & Materials

New challenges in oxygen reduction catalysis: a consortium retrospective to inform future research

Jun 14, 2022

Energy & Materials

Novel inorganic crystal structures predicted using autonomous simulation agents

Jun 1, 2022

Energy & Materials

Teaching machine learning to materials scientists: Lessons from hosting tutorials and competitions

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