Training for Diversity in Image Paragraph Captioning. - Luke Melas-Kyriazi; Alexander M. Rush; George Han (EMNLP, 2018)

Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings. - Luke Melas-Kyriazi; George Han; Celine Liang (DeepLo@EMNLP-IJCNLP, 2019)

Encoder-Agnostic Adaptation for Conditional Language Generation. - Zachary M. Ziegler; Luke Melas-Kyriazi; Sebastian Gehrmann; Alexander M. Rush (CoRR, 2019)

Show, Edit and Tell: A Framework for Editing Image Captions. - Fawaz Sammani; Luke Melas-Kyriazi (CVPR, 2020)

The Mathematical Foundations of Manifold Learning. - Luke Melas-Kyriazi (CoRR, 2020)

PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. - Luke Melas-Kyriazi; Arjun K. Manrai (CVPR, 2021)

Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet. - Luke Melas-Kyriazi (CoRR, 2021)

Intrinisic Gradient Compression for Federated Learning. - Luke Melas-Kyriazi; Franklyn Wang (CoRR, 2021)

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. - Luke Melas-Kyriazi; Christian Rupprecht 001; Iro Laina; Andrea Vedaldi (CVPR, 2022)

Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models. - Mirac Suzgun; Luke Melas-Kyriazi; Dan Jurafsky (EMNLP, 2022)

Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. - Luke Melas-Kyriazi; Christian Rupprecht 001; Iro Laina; Andrea Vedaldi (ICLR, 2022)

Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding. - Mirac Suzgun; Luke Melas-Kyriazi; Dan Jurafsky (ACL (Findings), 2023)

PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. - Luke Melas-Kyriazi; Christian Rupprecht 001; Andrea Vedaldi (CVPR, 2023)

RealFusion 360° Reconstruction of Any Object from a Single Image. - Luke Melas-Kyriazi; Iro Laina; Christian Rupprecht 001; Andrea Vedaldi (CVPR, 2023)

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. - Mirac Suzgun; Luke Melas-Kyriazi; Suproteem K. Sarkar; Scott Duke Kominers; Stuart M. Shieber (NeurIPS, 2023)

Augmenting medical image classifiers with synthetic data from latent diffusion models. - Luke W. Sagers; James A. Diao; Luke Melas-Kyriazi; Matthew Groh; Pranav Rajpurkar; Adewole S. Adamson; Veronica Rotemberg; Roxana Daneshjou; Arjun K. Manrai (CoRR, 2023)

Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation. - Paul Engstler; Luke Melas-Kyriazi; Christian Rupprecht 001; Iro Laina (CoRR, 2023)

Fixed Point Diffusion Models. - Xingjian Bai; Luke Melas-Kyriazi (CVPR, 2024)

GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. - Abdullah Hamdi; Luke Melas-Kyriazi; Jinjie Mai; Guocheng Qian; Ruoshi Liu; Carl Vondrick; Bernard Ghanem; Andrea Vedaldi (CVPR, 2024)

A Benchmark for Learning to Translate a New Language from One Grammar Book. - Garrett Tanzer; Mirac Suzgun; Eline Visser; Dan Jurafsky; Luke Melas-Kyriazi (ICLR, 2024)

IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. - Luke Melas-Kyriazi; Iro Laina; Christian Rupprecht 001; Natalia Neverova; Andrea Vedaldi; Oran Gafni; Filippos Kokkinos (ICML, 2024)

Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts. - Garrett Tanzer; Gustaf Ahdritz; Luke Melas-Kyriazi (CoRR, 2024)

DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer. - Runjia Li; Junlin Han; Luke Melas-Kyriazi; Chunyi Sun; Zhaochong An; Zhongrui Gui; Shuyang Sun; Philip Torr 001; Tomas Jakab (3DV, 2025)