Georgios Batzolis

11 papers A* 3Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Information-Guided Noise Allocation for Efficient Diffusion Training. CoRR Gabriel Raya, Bac Nguyen, Georgios Batzolis, Yuhta Takida, Dejan Stancevic, Naoki Murata, Chieh-Hsin Lai, Yuki Mitsufuji, Luca Ambrogioni
2025	A*	`conf`	Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows. ICML Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schönlieb
2024	A*	`conf`	Diffusion Models Encode the Intrinsic Dimension of Data Manifolds. ICML Jan Stanczuk, Georgios Batzolis, Teo Deveney, Carola-Bibiane Schönlieb
2024	J	`jnl`	Score-based pullback Riemannian geometry. CoRR Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schönlieb
2023	J	`jnl`	Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior. CoRR Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb
2022	A*	`conf`	How to Distribute Data across Tasks for Meta-Learning? AAAI Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia
2022	J	`jnl`	Non-Uniform Diffusion Models. CoRR Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
2022	J	`jnl`	Your diffusion model secretly knows the dimension of the data manifold. CoRR Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb
2021	J	`jnl`	CAFLOW: Conditional Autoregressive Flows. CoRR Georgios Batzolis, Marcello Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi, Carola-Bibiane Schönlieb
2021	J	`jnl`	Conditional Image Generation with Score-Based Diffusion Models. CoRR Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
2021	J	`jnl`	How to distribute data across tasks for meta-learning? CoRR Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Da-Shan Shiu, Alberto Bernacchia