Vasileios Lioutas

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Driving Behavior

Natural Language

Perceptron Learning

Diffusion Models

Top Venues

Trans. Mach. Learn. Res.

Publications

Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
Nearest Neighbour Score Estimators for Diffusion Generative Models. CoRR (2024)
Dylan Green, William Harvey, Saeid Naderiparizi, Matthew Niedoba, Yunpeng Liu, Xiaoxuan Liang, Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
Semantically Consistent Video Inpainting with Conditional Diffusion Models. CoRR (2024)
Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Matthew Niedoba, Yunpeng Liu, Dylan Green, Saeid Naderiparizi, Xiaoxuan Liang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters. CoRR (2024)
Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
Critic Sequential Monte Carlo. ICLR (2023)
Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
Conditional Permutation Invariant Flows. Trans. Mach. Learn. Res. 2023 (2023)
Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
A Diffusion-Model of Joint Interactive Navigation. NeurIPS (2023)
Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images. ITSC (2023)
Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
A Diffusion-Model of Joint Interactive Navigation. CoRR (2023)
Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images. CoRR (2023)
Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood, Adam Scibior
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models. CoRR (2023)
Vasileios Lioutas, Adam Scibior, Frank Wood
TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference. Trans. Mach. Learn. Res. 2022 (2022)
Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
Critic Sequential Monte Carlo. CoRR (2022)
Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Yunpeng Liu, Justice Sefas, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
Conditional Permutation Invariant Flows. CoRR (2022)
Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation. ACL/IJCNLP (1) (2021)
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. CoRR (2021)
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. ITSC (2021)
Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation. CoRR (2021)
Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh
Towards Zero-Shot Knowledge Distillation for Natural Language Processing. EMNLP (1) (2021)
Vasileios Lioutas, Yuhong Guo
Time-aware Large Kernel Convolutions. CoRR (2020)
Vasileios Lioutas
Mapping Low-Resolution Images To Multiple High-Resolution Images Using Non-Adversarial Mapping. CoRR (2020)
Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh
Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition. EMNLP (Findings) (2020)
Vasileios Lioutas, Yuhong Guo
Time-aware Large Kernel Convolutions. ICML (2020)
Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh
Towards Zero-Shot Knowledge Distillation for Natural Language Processing. CoRR (2020)
Vasileios Lioutas, Andriy Drozdyuk
Copy this Sentence. CoRR (2019)
Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh
Distilled embedding: non-linear embedding factorization using knowledge distillation. CoRR (2019)
Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas
Explicit ensemble attention learning for improving visual question answering. Pattern Recognit. Lett. 111 (2018)
Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas
Visual Question Answering using Explicit Visual Attention. ISCAS (2018)