Publications (5)
The Impact of Congestion and Dedicated Lanes on On-Demand Multimodal Transit Systems
Jason Lu, Anthony Trasatti, Hongzhao Guan +2
Traffic congestion can have a detrimental effect on public transit systems, and understanding and mitigating these effects is of critical importance for effective public transporta…
Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
NVIDIA, :, Yan Wang +41
End-to-end architectures trained via imitation learning have advanced autonomous driving by scaling model size and data, yet performance remains brittle in safety-critical long-tai…
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
NVIDIA, :, Aaron Blakeman +198
As inference-time scaling becomes critical for enhanced reasoning capabilities, it is increasingly becoming important to build models that are efficient to infer. We introduce Nemo…
The Impact of Shared Autonomous Vehicles in Microtransit Systems: A Case Study in Atlanta
Jason Lu, Tejas Santanam, Hongzhao Guan +5
Microtransit systems represent an enhancement to solve the first- and last-mile problem, integrating traditional rail and bus networks with on-demand shuttles into a flexible, inte…
Semi-Supervised Learning with Multiple Imputations on Non-Random Missing Labels
Jason Lu, Michael Ma, Huaze Xu +1
Semi-Supervised Learning (SSL) is implemented when algorithms are trained on both labeled and unlabeled data. This is a very common application of ML as it is unrealistic to obtain…