Vasileios Lioutas

Orcid: 0000-0002-6997-0289

According to our database1, Vasileios Lioutas authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Nearest Neighbour Score Estimators for Diffusion Generative Models.
CoRR, 2024

2023
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models.
CoRR, 2023

Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images.
CoRR, 2023

A Diffusion-Model of Joint Interactive Navigation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Critic Sequential Monte Carlo.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference.
Trans. Mach. Learn. Res., 2022

Conditional Permutation Invariant Flows.
CoRR, 2022

2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Towards Zero-Shot Knowledge Distillation for Natural Language Processing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Mapping Low-Resolution Images To Multiple High-Resolution Images Using Non-Adversarial Mapping.
CoRR, 2020

Time-aware Large Kernel Convolutions.
Proceedings of the 37th International Conference on Machine Learning, 2020

Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Distilled embedding: non-linear embedding factorization using knowledge distillation.
CoRR, 2019

Copy this Sentence.
CoRR, 2019

2018
Explicit ensemble attention learning for improving visual question answering.
Pattern Recognit. Lett., 2018

Visual Question Answering using Explicit Visual Attention.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018


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