Erik Wijmans
Scholar

Erik Wijmans

Google Scholar ID: 9v86038AAAAJ
Apple
Computer VisionMachine LearningEmbodied AI
Citations & Impact
All-time
Citations
7,020
 
H-index
22
 
i10-index
25
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Published 'Emergence of Maps in the Memories of Blind Navigation Agents' at ICLR 2023, recognized as Top-5% (Oral) and awarded Outstanding Paper Award (4 out of 4900).
  • Published 'VER: Scaling On-Policy RL Leads to Emergence of Navigation in Embodied Rearrangement' at NeurIPS 2022.
  • Published 'Does Spatial Cognition Emerge in Frontier Models?' at ICLR 2025.
  • Published 'Cut Your Losses in Large-Vocabulary Language Models' at ICLR 2025, selected for Oral presentation (top 1.8%).
  • Published 'Large Batch Simulation for Deep Reinforcement Learning' at ICLR 2021.
  • Published 'DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames' at ICLR 2020.
  • Published 'Robust Autonomy Emerges from Self-Play' at ICML 2025.
Research Experience
  • Currently a research scientist at Apple.
  • Summer 2020 intern at Intel, working with Vladlen Koltun.
  • Summer 2019 intern at FAIR, working with Manolis Savva.
  • Summer 2018 research intern at Facebook Reality Labs (FRL), working with Julian Straub.
  • Collaborated with Yasu Furukawa (now at SFU) while at Washington University in St. Louis.
  • Spent a summer working with Yinzhi Cao (now at JHU) at Lehigh University.
  • Mentored two students during PhD: Joel Ye (MS@GT → CMU PhD) and Guillermo Nicolas Grande (MS@GT → Microsoft).