Peter Karkus
10 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🏃 Academic Marathon (8) 🐝 Cross-Pollinator (14)
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Conference Polyglot
(6)
🏃
Academic Marathon
(8)
🐝
Cross-Pollinator
(14)
💎
Century Club
(10)
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Unstoppable
(6)
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Keyword Collector
(54)
Conferences
CORL (2)
CVPR (2)
ICLR (2)
NIPS (2)
AAAI (1)
RSS (1)
Top co-authors
Keywords
particle filter
(3)
modular architecture
(2)
differentiable programming
(2)
recurrent neural network
(2)
bayesian inference
(1)
uncertainty quantification
(1)
reinforcement learning
(1)
autonomous driving
(1)
uncertainty modeling
(1)
depth estimation
(1)
visual localization
(1)
3d scene understanding
(1)
visual navigation
(1)
robot learning
(1)
state estimation
(1)
model-based learning
(1)
covariate shift
(1)
behavior cloning
(1)
self-supervised learning
(1)
robot 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
NIPS 2024
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
CORL 2022
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation
CVPR 2021
Particle Filter Recurrent Neural Networks
AAAI 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations
ICLR 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
NIPS 2017