Publications
You can also find my publications on Google Scholar and dblp .
You find my publications also organised by type.
Year of Publication
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.
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.Berend Zwartsenberg, Adam Ĺcibior, Matthew Niedoba, Vasileios Lioutas, Yunpeng Liu, Justice Sefas, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell and Frank Wood:
Conditional Permutation Invariant Flows
arXiv:2206.09021.
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).