Metz, Luke

Unsupervised representation learning with deep convolutional generative adversarial networks

Radford, A., Metz, L., & Chintala, S. (2015) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 12,235

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

GPT-4o System Card

OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 180

On Linear Identifiability of Learned Representations

Roeder, G., Metz, L., & Kingma, D. P. (2020) · arXiv

Neural Networks and ApplicationsBlind Source Separation Techniques

Cited by 21