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

May 21, 2021

Energy & Materials

Origins of the Instability of Nonprecious Hydrogen Evolution Reaction Catalysts at Open-Circuit Potential

May 21, 2021

Energy & Materials

py4DSTEM: A Software Package for Four-Dimensional Scanning Transmission Electron Microscopy Data Analysis

May 7, 2021

Automated Driving

Machine Learning

RAT iLQR: A Risk Auto‑Tuning Controller to Optimally Account for Stochastic Model Mismatch

May 7, 2021

Automated Driving

Machine Learning

Probabilistic 3D Multi‑Modal, Multi‑Object Tracking for Autonomous Driving

Apr 26, 2021

Energy & Materials

Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworks

Apr 1, 2021

Human Interactive Driving

Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features

Mar 16, 2021

Energy & Materials

Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime

Dec 14, 2020

Robotics

Counter‑example guided synthesis of neural network Lyapunov functions for piecewise linear systems

Dec 1, 2020

Energy & Materials

Ionic Conduction through Reaction Products at the Electrolyte–Electrode Interface in All-Solid-State Li+ Batteries

Nov 10, 2020

Energy & Materials

High-Throughput Study of Lattice Thermal Conductivity in Binary Rocksalt and Zinc Blende Compounds Including Higher-Order Anharmonicity