Publications Organised by Type
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Publication Type
Conference Papers
Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior and Frank Wood:
A Diffusion-Model of Joint Interactive Navigation
Neural Information Processing Systems (NeurIPS) 2023.Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Ĺcibior and Frank Wood:
Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images
IEEE International Conference on Intelligent Transportation (ITSC 2023).Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood and Adam Scibior:
Critic Sequential Monte Carlo
International Conference on Learning Representations (ICLR) 2023.Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar and Mehdi Rezagholizadeh:
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
Empirical Methods in Natural Language Processing (EMNLP) 2021 (Oral Presentation).Ahmad Rashid, Vasileios Lioutas and Mehdi Rezagholizadeh:
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
Association for Computational Linguistics (ACL) 2021.Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni and Frank Wood:
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
IEEE International Conference on Intelligent Transportation (ITSC 2021) and CVPR 2021 Workshop on Autonomous Driving: Perception, Prediction and Planning (Best Paper Award).Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, and Mehdi Rezagholizadeh:
Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition
Findings of EMNLP, Empirical Methods in Natural Language Processing (EMNLP) 2020.Vasileios Lioutas, and Yuhong Guo:
Time-aware Large Kernel Convolutions
37th International Conference on Machine Learning (ICML).Vasileios Lioutas, Nikolaos Passalis, and Anastasios Tefas:
Visual Question Answering using Explicit Visual Attention
2018 IEEE International Symposium on Circuits and Systems (ISCAS).
2023
2021
2020
2018
Journal Articles
Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell and Frank Wood:
Conditional Permutation Invariant Flows
Transactions on Machine Learning Research (TMLR).Vasileios Lioutas, Adam Scibior and Frank Wood:
TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference
Transactions on Machine Learning Research (TMLR) and NeurIPS 2021 Virtual Workshop on Machine Learning for Autonomous Driving.Vasileios Lioutas, Nikolaos Passalis, and Anastasios Tefas:
Explicit ensemble attention learning for improving visual question answering
Pattern Recognition Letters, Volume 111, 1 August 2018, Pages 51-57.
2023
2022
2018
Workshop Papers
Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood and Adam Scibior:
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
Vision-Centric Autonomous Driving (VCAD) CVPR 2023 Workshop.Vasileios Lioutas, Ahmad Rashid, and Krtin Kumar:
On Compressing The Embedding Matrix Of Language Models For Edge Deployment
Edge Intelligence Workshop.
2023
2020
Other Publications
Vasileios Lioutas, Ahmad Rashid and Mehdi Rezagholizadeh:
Method and system for training a neural network model using adversarial learning and knowledge distillation
US Patent No. 18119211.Vasileios Lioutas, and Yuhong Guo:
Sequence Modeling with Time-aware Large Kernel Convolutions
Montreal AI Symposium.Vasileios Lioutas:
Mapping Low-Resolution Images To Multiple High-Resolution Images Using Non-Adversarial Mapping
arXiv:2006.11708.Vasileios Lioutas, and Andriy Drozdyuk:
Copy this Sentence
arXiv:1905.09856.