Peter Karkus
10 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver
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Topic Evolution
π§
Keyword Pioneer
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(62)
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(8)
Deep Learning
(7)
Machine Learning
(5)
Core AI
(5)
Computer Vision
(4)
Analysis
(4)
Architectures
(4)
Robotics
(3)
Learning Types
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Applications Β· Reinforcement Learning
(2)
Applications Β· Robotics
(2)
Bayesian & Probabilistic
(2)
Capabilities
(2)
Keywords
particle filter
(4)
modular architecture
(2)
recurrent neural network
(2)
reinforcement learning
(2)
differentiable programming
(2)
decision making
(1)
depth estimation
(1)
bayesian inference
(1)
autonomous driving
(1)
model-based learning
(1)
uncertainty modeling
(1)
visual localization
(1)
3d scene understanding
(1)
scene reconstruction
(1)
robot learning
(1)
self-supervised learning
(1)
neural rendering
(1)
behavior cloning
(1)
covariate shift
(1)
visual navigation
(1)
Papers
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
CVPR 2025
STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes
ICLR 2025
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
NeurIPS 2024
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
CoRL 2022
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation
CVPR 2021
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations
ICLR 2020
Particle Filter Recurrent Neural Networks
AAAI 2020
Differentiable Algorithm Networks for Composable Robot Learning
RSS 2019
Particle Filter Networks with Application to Visual Localization
CoRL 2018
QMDP-Net: Deep Learning for Planning under Partial Observability
NeurIPS 2017