Sotabase

Career

· Postdoctoral Researcher, Stanford University2024–
· PhD Student, EPFL
· Research Intern, EPFL

Publications (21)

Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2018
606
cited
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
Neural Information Processing Systems · 2021
400
cited
In Situ Gelling Gelrite/Alginate Formulations as Vehicles for Ophthalmic Drug Delivery
AAPS PharmSciTech · 2010
117
cited
Social NCE: Contrastive Learning of Socially-aware Motion Representations
IEEE International Conference on Computer Vision · 2020
115
cited
Two Brain Pathways Initiate Distinct Forward Walking Programs in Drosophila
Neuron · 2019
81
cited
On Pitfalls of Test-Time Adaptation
International Conference on Machine Learning · 2023
61
cited
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Computer Vision and Pattern Recognition · 2021
60
cited
Map-based Deep Imitation Learning for Obstacle Avoidance
IEEE/RJS International Conference on Intelligent RObots and Systems · 2018
36
cited
Learning Decoupled Representations for Human Pose Forecasting
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 2021
32
cited
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
arXiv.org · 2024
29
cited
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
CLEaR · 2023
27
cited
Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling
arXiv.org · 2024
21
cited
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Conference on Robot Learning · 2022
18
cited
Collaborative Sampling in Generative Adversarial Networks
AAAI Conference on Artificial Intelligence · 2019
17
cited
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
Computer Vision and Pattern Recognition · 2023
7
cited
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
International Conference on Learning Representations · 2024
6
cited
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
arXiv.org · 2024
5
cited
Concentrated Photovoltaics and its techno-economic comparison with the Photovoltaics
2017
4
cited
Real-time distributed algorithms for nonconvex optimal power flow
American Control Conference · 2017
3
cited
TAROT: Targeted Data Selection via Optimal Transport
International Conference on Machine Learning · 2024
2
cited
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Yuejiang Liu | Researcher Profile | Sotabase | Sotabase