Georgios Batzolis

11 papers A* 3Journal 8
YearRankTypeTitle / 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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski