| Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning C Chen, Y Liu, S Kreiss, A Alahi International Conference on Robotics and Automation (ICRA), 2019 | 669 | 2019 |
| TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? Y Liu, P Kothari, B van Delft, B Bellot-Gurlet, T Mordan, A Alahi Advances in Neural Information Processing Systems (NeurIPS), 2021 | 304 | 2021 |
| Social nce: Contrastive learning of socially-aware motion representations Y Liu, Q Yan, A Alahi International Conference on Computer Vision (ICCV), 2021 | 130 | 2021 |
| Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Y Liu, R Cadei, J Schweizer, S Bahmani, A Alahi Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 64 | 2022 |
| On Pitfalls of Test-Time Adaptation H Zhao*, Y Liu*, A Alahi, T Lin International Conference on Machine Learning (ICML), 2023 | 57 | 2023 |
| Map-based deep imitation learning for obstacle avoidance Y Liu, A Xu, Z Chen International Conference on Intelligent Robots and Systems (IROS), 2018 | 43 | 2018 |
| Learning decoupled representations for human pose forecasting B Parsaeifard, S Saadatnejad, Y Liu, T Mordan, A Alahi International Conference on Computer Vision Workshop (ICCVW), 2021 | 29 | 2021 |
| Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting P Kothari, D Li, Y Liu, A Alahi Conference on Robot Learning (CoRL), 2022 | 20 | 2022 |
| Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Y Liu, A Alahi, C Russell, M Horn, D Zietlow, B Schölkopf, F Locatello Conference on Causal Learning and Reasoning (CLeaR), 2023 | 17 | 2023 |
| Collaborative sampling in generative adversarial networks Y Liu*, P Kothari*, A Alahi Conference on Artificial Intelligence (AAAI), 2020 | 17* | 2020 |
| Co-supervised learning: Improving weak-to-strong generalization with hierarchical mixture of experts Y Liu, A Alahi arXiv preprint arXiv:2402.15505, 2024 | 12 | 2024 |
| Real-time distributed algorithms for nonconvex optimal power flow Y Liu, JH Hours, G Stathopoulos, CN Jones American Control Conference (ACC), 2017 | 5 | 2017 |
| Forecast-PEFT: Parameter-efficient fine-tuning for pre-trained motion forecasting models J Wang, K Messaoud, Y Liu, J Gall, A Alahi arXiv preprint arXiv:2407.19564, 2024 | 3 | 2024 |
| Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations Y Liu*, A Rahimi*, PC Luan*, F Rajič, A Alahi arXiv preprint arXiv:2312.04540, 2023 | 3 | 2023 |
| Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling Y Liu, JI Hamid, A Xie, Y Lee, M Du, C Finn International Conference on Learning Representations (ICLR), 2025 | 1 | 2025 |
| Targeted Data Selection via Optimal Transport L Feng, F Nie, Y Liu, A Alahi arXiv preprint arXiv:2412.00420, 2024 | | 2024 |
Alexandre AlahiProfessor, EPFLBestätigte E-Mail-Adresse bei epfl.ch