Erica Weng

I am a PhD student at the Robotics Institute, part of the School of Computer Science at Carnegie Mellon University, where I work on human trajectory forecasting with Professor Kris Kitani.

I received my BS and MEng in Course 6 (Computer Science) from MIT, where I was a research assistant for Leslie Kaelbling in the Learning and Intelligent Systems group working closely with Ferran Alet. I was a teaching assistant for the infamous 6.006 (Introduction to Algorithms) in Fall 2019.

My research is supported by the Ford Foundation Fellowship Program (2022-2025).

Email  /  GitHub  /  LinkedIn

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(In Submission) Modern Trajectory Forecasting Methods Lack Social Awareness

*Erica Weng, *Hana Hoshino, Ye Yuan, Shinnosuke Usami, Kris Kitani
European Conference on Computer Vision, 2022

A comprehensive analysis on modern trajectory prediction methods, and their failures with respect to collision-avoidance.

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Fast Neural Relational Inference with Modular Meta-Learning

Ferran Alet, Erica Weng, Leslie Kaelbling, Tomas Lozano-Perez
Neural Information Processing Systems, 2019
arxiv / code

An application of the Modular Meta-Learning algorithm to the problem of Neural Relational Inference.

Thanks to Leo for his cool website template.