Luke Melas-Kyriazi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Diffusion Models

Text Generation

Top Venues

Publications

Xingjian Bai, Luke Melas-Kyriazi
Fixed Point Diffusion Models. CoRR (2024)
Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. CoRR (2024)
Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
A Benchmark for Learning to Translate a New Language from One Grammar Book. ICLR (2024)
Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CoRR (2024)
Garrett Tanzer, Gustaf Ahdritz, Luke Melas-Kyriazi
Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts. CoRR (2024)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
RealFusion: 360° Reconstruction of Any Object from a Single Image. CoRR (2023)
Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CVPR (2023)
Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CoRR (2023)
Paul Engstler, Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation. CoRR (2023)
Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. ACL (Findings) (2023)
Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi
RealFusion 360° Reconstruction of Any Object from a Single Image. CVPR (2023)
Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
A Benchmark for Learning to Translate a New Language from One Grammar Book. CoRR (2023)
Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai
Augmenting medical image classifiers with synthetic data from latent diffusion models. CoRR (2023)
Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. NeurIPS (2023)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CVPR (2022)
Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. CoRR (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CoRR (2022)
Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. CoRR (2022)
Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. CoRR (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. ICLR (2022)
Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. EMNLP (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models. CoRR (2021)
Luke Melas-Kyriazi
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet. CoRR (2021)
Luke Melas-Kyriazi, Arjun K. Manrai
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. CoRR (2021)
Luke Melas-Kyriazi, Franklyn Wang
Intrinisic Gradient Compression for Federated Learning. CoRR (2021)
Luke Melas-Kyriazi, Arjun K. Manrai
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. CVPR (2021)
Fawaz Sammani, Luke Melas-Kyriazi
Show, Edit and Tell: A Framework for Editing Image Captions. CoRR (2020)
Luke Melas-Kyriazi, George Han, Celine Liang
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings. CoRR (2020)
Luke Melas-Kyriazi
The Mathematical Foundations of Manifold Learning. CoRR (2020)
Fawaz Sammani, Luke Melas-Kyriazi
Show, Edit and Tell: A Framework for Editing Image Captions. CVPR (2020)
Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush
Encoder-Agnostic Adaptation for Conditional Language Generation. CoRR (2019)
Luke Melas-Kyriazi, George Han, Celine Liang
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings. DeepLo@EMNLP-IJCNLP (2019)
Luke Melas-Kyriazi, Alexander M. Rush, George Han
Training for Diversity in Image Paragraph Captioning. EMNLP (2018)