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Vasileios Lioutas
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Year
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
A Scibior, V Lioutas, D Reda, P Bateni, F Wood
Proceedings of 2021 IEEE International Intelligent Transportation Systems …, 2021
522021
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
A Rashid, V Lioutas, M Rezagholizadeh
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
362021
Time-aware Large Kernel Convolutions
V Lioutas, Y Guo
Proceedings of the 37th International Conference on Machine Learning (ICML …, 2020
342020
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
A Rashid, V Lioutas, A Ghaddar, M Rezagholizadeh
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
272021
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition
V Lioutas, A Rashid, K Kumar, MA Haidar, M Rezagholizadeh
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
19*2020
Explicit ensemble attention learning for improving visual question answering
V Lioutas, N Passalis, A Tefas
Pattern Recognition Letters 111, 51-57, 2018
192018
A Diffusion-Model of Joint Interactive Navigation
M Niedoba, JW Lavington, Y Liu, V Lioutas, J Sefas, X Liang, D Green, ...
Neural Information Processing Systems (NeurIPS) 2023, 2023
152023
TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference
V Lioutas, A Scibior, F Wood
Transactions on Machine Learning Research (TMLR), 2022
112022
Conditional Permutation Invariant Flows
B Zwartsenberg, A ¦cibior, M Niedoba, V Lioutas, Y Liu, J Sefas, S Dabiri, ...
Transactions on Machine Learning Research (TMLR), 2023
92023
Critic Sequential Monte Carlo
V Lioutas, JW Lavington, J Sefas, M Niedoba, Y Liu, B Zwartsenberg, ...
Proceedings of the 11th International Conference on Learning Representations …, 2023
82023
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters
JW Lavington, K Zhang, V Lioutas, M Niedoba, Y Liu, D Green, ...
arXiv preprint arXiv:2405.04491, 2024
52024
Visual Question Answering using Explicit Visual Attention
V Lioutas, N Passalis, A Tefas
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
52018
METHOD AND SYSTEM FOR TRAINING A NEURAL NETWORK MODEL USING ADVERSARIAL LEARNING AND KNOWLEDGE DISTILLATION
V Lioutas, A Rashid, M Rezagholizadeh
US Patent App. 18/119,211, 2023
32023
Semantically Consistent Video Inpainting with Conditional Diffusion Models
D Green, W Harvey, S Naderiparizi, M Niedoba, Y Liu, X Liang, ...
arXiv preprint arXiv:2405.00251, 2024
22024
Nearest Neighbour Score Estimators for Diffusion Generative Models
M Niedoba, D Green, S Naderiparizi, V Lioutas, JW Lavington, X Liang, ...
International Conference on Machine Learning (ICML), 2024
12024
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
S Dabiri, V Lioutas, B Zwartsenberg, Y Liu, M Niedoba, X Liang, D Green, ...
Vision-Centric Autonomous Driving (VCAD) CVPR 2023 Workshop, 2023
12023
Mapping Low-Resolution Images To Multiple High-Resolution Images Using Non-Adversarial Mapping
V Lioutas
arXiv preprint arXiv:2006.11708, 2020
12020
Control-ITRA: Controlling the Behavior of a Driving Model
V Lioutas, A Scibior, M Niedoba, B Zwartsenberg, F Wood
arXiv preprint arXiv:2501.12408, 2025
2025
Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images
Y Liu, V Lioutas, JW Lavington, M Niedoba, J Sefas, S Dabiri, D Green, ...
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
2023
Sequence Modeling with Linear Complexity
V Lioutas
Carleton University, 2020
2020
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Articles 1–20