How to distribute data across tasks for meta-learning? - Alexandru Cioba; Michael Bromberg; Qian Wang; Ritwik Niyogi; Georgios Batzolis; Da-Shan Shiu; Alberto Bernacchia (CoRR, 2021)

CAFLOW: Conditional Autoregressive Flows. - Georgios Batzolis; Marcello Carioni; Christian Etmann; Soroosh Afyouni; Zoe Kourtzi; Carola-Bibiane Schönlieb (CoRR, 2021)

Conditional Image Generation with Score-Based Diffusion Models. - Georgios Batzolis; Jan Stanczuk; Carola-Bibiane Schönlieb; Christian Etmann (CoRR, 2021)

How to Distribute Data across Tasks for Meta-Learning? - Alexandru Cioba; Michael Bromberg; Qian Wang; Ritwik Niyogi; Georgios Batzolis; Jezabel R. Garcia; Da-Shan Shiu; Alberto Bernacchia (AAAI, 2022)

Non-Uniform Diffusion Models. - Georgios Batzolis; Jan Stanczuk; Carola-Bibiane Schönlieb; Christian Etmann (CoRR, 2022)

Your diffusion model secretly knows the dimension of the data manifold. - Georgios Batzolis; Jan Stanczuk; Carola-Bibiane Schönlieb (CoRR, 2022)

Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior. - Georgios Batzolis; Jan Stanczuk; Carola-Bibiane Schönlieb (CoRR, 2023)

Diffusion Models Encode the Intrinsic Dimension of Data Manifolds. - Jan Stanczuk; Georgios Batzolis; Teo Deveney; Carola-Bibiane Schönlieb (ICML, 2024)

Score-based pullback Riemannian geometry. - Willem Diepeveen; Georgios Batzolis; Zakhar Shumaylov; Carola-Bibiane Schönlieb (CoRR, 2024)