NewXResearch hub
ExploreLibraryProfile
Account
Sign In
Maximilian Igl
Scholar

Maximilian Igl

Google Scholar ID: rFcdDJEAAAAJ
Nvidia
Reinforcement LearningImitation LearningVariational AutoencodersGeneralization
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
2,188
 
H-index
16
 
i10-index
18
 
Publications
20
 
Co-authors
16
list available
Publications
9 items
Parametric Trajectory Distillation for Few-Step Video Generation
2026
Cited
0
CtrlWAM: Controllable World Action Models with Aligned Intent and Foresight
2026
Cited
0
OPTED: On-Policy Fine-Tuning for End-to-End Driving using a Render-Free Teacher
2026
Cited
0
Planning-aligned Token Compression for Long-Context Autonomous Driving
2026
Cited
0
123D: Unifying Multi-Modal Autonomous Driving Data at Scale
2026
Cited
0
LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving
2025
Cited
0
RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies
2025
Cited
0
STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
2024
Cited
1
Co-authors
15 total
Shimon Whiteson
Shimon Whiteson
Professor of Computer Science, University of Oxford / Senior Staff Research Scientist, Waymo
Katja Hofmann
Katja Hofmann
Microsoft Research
Luisa Zintgraf
Luisa Zintgraf
DeepMind
Kyriacos Shiarlis
Kyriacos Shiarlis
Waymo
Wendelin Böhmer
Wendelin Böhmer
Sequential Decision Making Group, Delft University of Technology
Frank Wood
Frank Wood
University of British Columbia
Tuan Anh Le
Tuan Anh Le
Research Scientist, Google DeepMind
Yarin Gal
Yarin Gal
Professor of Machine Learning, University of Oxford