Stratis Gavves

According to our database, Stratis Gavves authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Reconstruction by Generation: 3D Multi-Object Scene Reconstruction from Sparse Observations.

Andrii Zadaianchuk, Leonardo Barcellona, Lennard Schuenemann, Christian Gumbsch, Zehao Wang, Muhammad Zubair Irshad, Fabien Despinoy, Rahaf Aljundi, Stratis Gavves, Sergey Zakharov

CoRR, April, 2026

2025

Superposition as Lossy Compression - Measure with Sparse Autoencoders and Connect to Adversarial Vulnerability.

Leonard Bereska, Zoe Tzifa-Kratira, Reza Samavi, Stratis Gavves

Trans. Mach. Learn. Res., 2025

Object-Centric Video Question Answering with Visual Grounding and Referring.

Haochen Wang, Qirui Chen, Cilin Yan, Jiayin Cai, Xiaolong Jiang, Yao Hu, Weidi Xie, Stratis Gavves

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Mechanistic Interpretability for AI Safety - A Review.

Leonard Bereska, Stratis Gavves

Trans. Mach. Learn. Res., 2024

Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke.

Lucas de Vries, Rudolf Leonardus Mirjam van Herten, Jan W. Hoving, Ivana Isgum, Bart J. Emmer, Charles B. L. M. Majoie, Henk A. Marquering, Stratis Gavves

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Mechanistic Neural Networks for Scientific Machine Learning.

Adeel Pervez, Francesco Locatello, Stratis Gavves

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Amortized Equation Discovery in Hybrid Dynamical Systems.

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Stratis Gavves

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Ai-sampler: Adversarial Learning of Markov kernels with involutive maps.

Evgenii Egorov, Riccardo Valperga, Stratis Gavves

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

CITRIS: Causal Identifiability from Temporal Intervened Sequences.

Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Stratis Gavves

Proceedings of the International Conference on Machine Learning, 2022