Publications
You can also find my publications on Google Scholar and dblp .
You find my publications also organised by type.
Year of Publication
2023
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.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.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).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.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, 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.
2022
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.
2021
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).
2020
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:
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 Yuhong Guo:
Time-aware Large Kernel Convolutions
37th International Conference on Machine Learning (ICML).Vasileios Lioutas, Ahmad Rashid, and Krtin Kumar:
On Compressing The Embedding Matrix Of Language Models For Edge Deployment
Edge Intelligence Workshop.
2019
Vasileios Lioutas, and Andriy Drozdyuk:
Copy this Sentence
arXiv:1905.09856.
2018
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.Vasileios Lioutas, Nikolaos Passalis, and Anastasios Tefas:
Visual Question Answering using Explicit Visual Attention
2018 IEEE International Symposium on Circuits and Systems (ISCAS).