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10/10/2022
PyHopper – Hyperparameter optimization
Hyperparameter tuning is a fundamental aspect of machine learning resear...
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09/21/2022
Deep Learning on Home Drone: Searching for the Optimal Architecture
We suggest the first system that runs real-time semantic segmentation vi...
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11/23/2021
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Simulation has the potential to transform the development of robust algo...
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07/18/2021
GoTube: Scalable Stochastic Verification of Continuous-Depth Models
We introduce a new stochastic verification algorithm that formally quant...
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04/17/2021
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales
The past decade has witnessed a groundbreaking rise of machine learning ...
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03/28/2021
TransCenter: Transformers with Dense Queries for Multiple-Object Tracking
Transformer networks have proven extremely powerful for a wide variety o...
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03/08/2021
Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars
Despite the rich theoretical foundation of model-based deep reinforcemen...
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07/01/2020
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
We propose a framework for tightly-coupled lidar inertial odometry via s...
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06/08/2020
Liquid Time-constant Networks
We introduce a new class of time-continuous recurrent neural network mod...
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10/07/2019
Deep Evidential Regression
Deterministic neural networks (NNs) are increasingly being deployed in s...
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09/11/2018
