Rowan McAllister
10 papers · 2017–2024 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(7)
🧬
Topic Evolution
👥
Mega-Team
(22)
🔥
Unstoppable
(8)
💎
Century Club
(10)
❓
The Questioner
Conferences
NIPS (4)
ECCV (2)
ICCV (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
autonomous vehicle
(2)
model-based reinforcement learning
(2)
sample efficiency
(1)
variational inference
(1)
uncertainty quantification
(1)
epistemic uncertainty
(1)
trajectory forecasting
(1)
off-policy learning
(1)
gaussian process
(1)
belief state
(1)
partially observable markov decision process
(1)
state estimation
(1)
autonomous driving
(1)
distribution shift
(1)
imitation learning
(1)
probabilistic model
(1)
reinforcement learning
(1)
dynamics model
(1)
uncertainty propagation
(1)
deep reinforcement learning
(1)
Papers
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting
ECCV 2024
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
NIPS 2023
S2Net: Stochastic Sequential Pointcloud Forecasting
ECCV 2022
Outcome-Driven Reinforcement Learning via Variational Inference
NIPS 2021
Deep Imitative Models for Flexible Inference, Planning, and Control
ICLR 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
ICML 2020
PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings
ICCV 2019
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
NIPS 2018
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning
IJCAI 2017
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
NIPS 2017