Vasileios Lioutas

29 papers A* 4C 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Control-ITRA: Controlling the Behavior of a Driving Model. CoRR Vasileios Lioutas, Adam Scibior, Matthew Niedoba, Berend Zwartsenberg, Frank Wood
2024	A*	`conf`	Nearest Neighbour Score Estimators for Diffusion Generative Models. ICML 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
2024	J	`jnl`	Nearest Neighbour Score Estimators for Diffusion Generative Models. CoRR 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
2024	J	`jnl`	Semantically Consistent Video Inpainting with Conditional Diffusion Models. CoRR 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
2024	J	`jnl`	TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters. CoRR 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
2023	A*	`conf`	A Diffusion-Model of Joint Interactive Navigation. NeurIPS Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	J	`jnl`	A Diffusion-Model of Joint Interactive Navigation. CoRR Matthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	J	`jnl`	Conditional Permutation Invariant Flows. Trans. Mach. Learn. Res. Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
2023	A*	`conf`	Critic Sequential Monte Carlo. ICLR Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
2023	J	`jnl`	Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models. CoRR Setareh Dabiri, Vasileios Lioutas, Berend Zwartsenberg, Yunpeng Liu, Matthew Niedoba, Xiaoxuan Liang, Dylan Green, Justice Sefas, Jonathan Wilder Lavington, Frank Wood, Adam Scibior
2023	J	`jnl`	Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images. CoRR Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
2023	—	`conf`	Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images. ITSC Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Scibior, Frank Wood
2022	J	`jnl`	Conditional Permutation Invariant Flows. CoRR Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Yunpeng Liu, Justice Sefas, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
2022	J	`jnl`	Critic Sequential Monte Carlo. CoRR Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
2022	J	`jnl`	TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference. Trans. Mach. Learn. Res. Vasileios Lioutas, Adam Scibior, Frank Wood
2021	—	`conf`	Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. ITSC Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
2021	J	`jnl`	Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. CoRR Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
2021	—	`conf`	MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation. ACL/IJCNLP (1) Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh
2021	J	`jnl`	MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation. CoRR Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh
2021	—	`conf`	Towards Zero-Shot Knowledge Distillation for Natural Language Processing. EMNLP (1) Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh
2020	—	`conf`	Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition. EMNLP (Findings) Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh
2020	J	`jnl`	Mapping Low-Resolution Images To Multiple High-Resolution Images Using Non-Adversarial Mapping. CoRR Vasileios Lioutas
2020	A*	`conf`	Time-aware Large Kernel Convolutions. ICML Vasileios Lioutas, Yuhong Guo
2020	J	`jnl`	Time-aware Large Kernel Convolutions. CoRR Vasileios Lioutas, Yuhong Guo
2020	J	`jnl`	Towards Zero-Shot Knowledge Distillation for Natural Language Processing. CoRR Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh
2019	J	`jnl`	Copy this Sentence. CoRR Vasileios Lioutas, Andriy Drozdyuk
2019	J	`jnl`	Distilled embedding: non-linear embedding factorization using knowledge distillation. CoRR Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh
2018	J	`jnl`	Explicit ensemble attention learning for improving visual question answering. Pattern Recognit. Lett. Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas
2018	C	`conf`	Visual Question Answering using Explicit Visual Attention. ISCAS Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas