Luke Melas-Kyriazi

40 papers A* 13Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Composer 2 Technical Report. CoRR Aaron Chan, Ahmed Shalaby, Alexander Wettig, Aman Sanger, Andrew Zhai, Anurag Ajay, Ashvin Nair, Charlie Snell, Chen Lu, Chen Shen, Emily Jia, Federico Cassano, Hanpeng Liu, Haoyu Chen, Henry Wildermuth, Jacob Jackson, Janet Li, Jediah Katz, Jiajun Yao, Joey Hejna, Josh Warner, Julius Vering, Kevin Frans, Lee Danilek, Less Wright, Lujing Cen, Luke Melas-Kyriazi, Michael Truell, Michiel de Jong, Naman Jain, Nate Schmidt, Nathan Wang, Niklas Muennighoff, Oleg Rybkin, Paul Loh, Phillip Kravtsov, Rishabh Yadav, Sahil Shah, Sam Kottler, Alexander M. Rush, Shengtong Zhang, Shomil Jain, Sriram Sankar, Stefan Heule, Stuart H. Sul, Sualeh Asif, Victor Rong, Wanqi Zhu, William Lin, Yuchen Wu, Yuri Volkov, Yury Zemlyanskiy, Zack Holbrook, Zhiyuan Zhang
2025	J	`jnl`	3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models. CoRR Jolanta Mozyrska, Marcel Beetz, Luke Melas-Kyriazi, Vicente Grau, Abhirup Banerjee, Alfonso Bueno-Orovio
2025	—	`conf`	DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer. 3DV Runjia Li, Junlin Han, Luke Melas-Kyriazi, Chunyi Sun, Zhaochong An, Zhongrui Gui, Shuyang Sun, Philip Torr, Tomas Jakab
2024	A*	`conf`	A Benchmark for Learning to Translate a New Language from One Grammar Book. ICLR Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
2024	J	`jnl`	DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer. CoRR Runjia Li, Junlin Han, Luke Melas-Kyriazi, Chunyi Sun, Zhaochong An, Zhongrui Gui, Shuyang Sun, Philip Torr, Tomas Jakab
2024	A*	`conf`	Fixed Point Diffusion Models. CVPR Xingjian Bai, Luke Melas-Kyriazi
2024	J	`jnl`	Fixed Point Diffusion Models. CoRR Xingjian Bai, Luke Melas-Kyriazi
2024	A*	`conf`	GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CVPR Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi
2024	J	`jnl`	GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CoRR Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi
2024	A*	`conf`	IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. ICML Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos
2024	J	`jnl`	IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. CoRR Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos
2024	J	`jnl`	Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts. CoRR Garrett Tanzer, Gustaf Ahdritz, Luke Melas-Kyriazi
2023	J	`jnl`	A Benchmark for Learning to Translate a New Language from One Grammar Book. CoRR Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
2023	J	`jnl`	Augmenting medical image classifiers with synthetic data from latent diffusion models. CoRR Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai
2023	—	`conf`	Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. ACL (Findings) Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
2023	A*	`conf`	PC CVPR Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
2023	J	`jnl`	PC CoRR Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
2023	A*	`conf`	RealFusion 360° Reconstruction of Any Object from a Single Image. CVPR Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi
2023	J	`jnl`	RealFusion: 360° Reconstruction of Any Object from a Single Image. CoRR Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
2023	A*	`conf`	The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. NeurIPS Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber
2023	J	`jnl`	Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation. CoRR Paul Engstler, Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina
2022	A*	`conf`	Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CVPR Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
2022	J	`jnl`	Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CoRR Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
2022	A*	`conf`	Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. ICLR Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
2022	J	`jnl`	Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. CoRR Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
2022	A*	`conf`	Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. EMNLP Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
2022	J	`jnl`	Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. CoRR Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
2022	J	`jnl`	The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. CoRR Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber
2021	J	`jnl`	Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet. CoRR Luke Melas-Kyriazi
2021	J	`jnl`	Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models. CoRR Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
2021	J	`jnl`	Intrinisic Gradient Compression for Federated Learning. CoRR Luke Melas-Kyriazi, Franklyn Wang
2021	A*	`conf`	PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. CVPR Luke Melas-Kyriazi, Arjun K. Manrai
2021	J	`jnl`	PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. CoRR Luke Melas-Kyriazi, Arjun K. Manrai
2020	J	`jnl`	Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings. CoRR Luke Melas-Kyriazi, George Han, Celine Liang
2020	A*	`conf`	Show, Edit and Tell: A Framework for Editing Image Captions. CVPR Fawaz Sammani, Luke Melas-Kyriazi
2020	J	`jnl`	Show, Edit and Tell: A Framework for Editing Image Captions. CoRR Fawaz Sammani, Luke Melas-Kyriazi
2020	J	`jnl`	The Mathematical Foundations of Manifold Learning. CoRR Luke Melas-Kyriazi
2019	J	`jnl`	Encoder-Agnostic Adaptation for Conditional Language Generation. CoRR Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush
2019	—	`conf`	Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings. DeepLo@EMNLP-IJCNLP Luke Melas-Kyriazi, George Han, Celine Liang
2018	A*	`conf`	Training for Diversity in Image Paragraph Captioning. EMNLP Luke Melas-Kyriazi, Alexander M. Rush, George Han