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05/24/2023
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
When training object detection models on synthetic data, it is important...
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05/19/2023
Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images
The development of algorithms that learn behavioral driving models using...
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11/14/2022
NeurIPS 2022 Competition: Driving SMARTS
Driving SMARTS is a regular competition designed to tackle problems caus...
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08/09/2022
Vehicle Type Specific Waypoint Generation
We develop a generic mechanism for generating vehicle-type specific sequ...
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06/17/2022
Conditional Permutation Invariant Flows
We present a novel, conditional generative probabilistic model of set-va...
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05/30/2022
Critic Sequential Monte Carlo
We introduce CriticSMC, a new algorithm for planning as inference built ...
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06/18/2021
Differentiable Particle Filtering without Modifying the Forward Pass
In recent years particle filters have being used as components in system...
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04/22/2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
We develop a deep generative model built on a fully differentiable simul...
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12/31/2020
Robust Asymmetric Learning in POMDPs
Policies for partially observed Markov decision processes can be efficie...
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06/30/2020
Semi-supervised Sequential Generative Models
We introduce a novel objective for training deep generative time-series ...
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03/30/2020
Planning as Inference in Epidemiological Models
In this work we demonstrate how existing software tools can be used to a...
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10/25/2019
Deep Probabilistic Surrogate Networks for Universal Simulator Approximation
We present a framework for automatically structuring and training fast, ...
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10/20/2019
Amortized Rejection Sampling in Universal Probabilistic Programming
Existing approaches to amortized inference in probabilistic programs wit...
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09/20/2019
Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation
Imitation learning is a promising approach to end-to-end training of aut...
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03/12/2019
Imitation Learning of Factored Multi-agent Reactive Models
We apply recent advances in deep generative modeling to the task of imit...
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11/09/2017
Denotational validation of higher-order Bayesian inference
We present a modular semantic account of Bayesian inference algorithms f...
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10/19/2016