Efstratios Gavves

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 160

Top Venues

Publications

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves
Amortized Equation Discovery in Hybrid Dynamical Systems. CoRR (2024)
Leonard Bereska, Efstratios Gavves
Mechanistic Interpretability for AI Safety - A Review. CoRR (2024)
Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. CoRR (2024)
Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano
SIGMA: Sinkhorn-Guided Masked Video Modeling. CoRR (2024)
Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. ICLR (2024)
Cilin Yan, Haochen Wang, Jie Liu, Xiaolong Jiang, Yao Hu, Xu Tang, Guoliang Kang, Efstratios Gavves
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation. Neurocomputing 599 (2024)
Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. CoRR (2024)
Cilin Yan, Haochen Wang, Xiaolong Jiang, Yao Hu, Xu Tang, Guoliang Kang, Efstratios Gavves
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning. CoRR (2024)
David R. Wessels, David M. Knigge, Samuele Papa, Riccardo Valperga, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers
Grounding Continuous Representations in Geometry: Equivariant Neural Fields. CoRR (2024)
Evgenii Egorov, Riccardo Valperga, Efstratios Gavves
Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps. CoRR (2024)
Alex Gabel, Rick Quax, Efstratios Gavves
Data-driven Lie point symmetry detection for continuous dynamical systems. Mach. Learn. Sci. Technol. 5 (1) (2024)
Adeel Pervez, Francesco Locatello, Efstratios Gavves
Mechanistic Neural Networks for Scientific Machine Learning. CoRR (2024)
Cilin Yan, Haochen Wang, Shilin Yan, Xiaolong Jiang, Yao Hu, Guoliang Kang, Weidi Xie, Efstratios Gavves
VISA: Reasoning Video Object Segmentation via Large Language Models. CoRR (2024)
Sotirios Konstantakos, Despina Ioanna Chalkiadaki, Ioannis Mademlis, Yuki M. Asano, Efstratios Gavves, Georgios Th. Papadopoulos
Self-supervised visual learning in the low-data regime: a comparative evaluation. CoRR (2024)
Luc P. J. Sträter, Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. CoRR (2024)
Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. 3DV (2024)
David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. CoRR (2024)
Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Li, Jan-Jakob Sonke, Efstratios Gavves
Domain Adaptation with Cauchy-Schwarz Divergence. CoRR (2024)
Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron
Data Augmentations in Deep Weight Spaces. CoRR (2023)
Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke
Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. MICCAI (10) (2023)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
BISCUIT: Causal Representation Learning from Binary Interactions. UAI (2023)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. ICLR (2023)
Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. CoRR (2023)
Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves
Invariant Neural Ordinary Differential Equations. CoRR (2023)
Adeel Pervez, Phillip Lippe, Efstratios Gavves
Scalable Subset Sampling with Neural Conditional Poisson Networks. ICLR (2023)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
BISCUIT: Causal Representation Learning from Binary Interactions. CoRR (2023)
Lucas de Vries, Bart J. Emmer, Charles B. L. M. Majoie, Henk A. Marquering, Efstratios Gavves
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke. Medical Image Anal. 85 (2023)
Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves
Neural Modulation Fields for Conditional Cone Beam Neural Tomography. CoRR (2023)
Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves
Graph Switching Dynamical Systems. ICML (2023)
Haochen Wang, Shuai Wang, Cilin Yan, Xiaolong Jiang, Xu Tang, Yao Hu, Weidi Xie, Efstratios Gavves
Towards Open-Vocabulary Video Instance Segmentation. CoRR (2023)
Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves
Modulated Neural ODEs. NeurIPS (2023)
Adeel Pervez, Phillip Lippe, Efstratios Gavves
Differentiable Mathematical Programming for Object-Centric Representation Learning. ICLR (2023)
Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves
Learning Lie Group Symmetry Transformations with Neural Networks. TAG-ML (2023)
Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. ICLR (2023)
Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
PC-Reg: A pyramidal prediction-correction approach for large deformation image registration. Medical Image Anal. 90 (2023)
Cilin Yan, Haochen Wang, Jie Liu, Xiaolong Jiang, Yao Hu, Xu Tang, Guoliang Kang, Efstratios Gavves
PiClick: Picking the desired mask in click-based interactive segmentation. CoRR (2023)
Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. NeurIPS (2023)
Philipp Gérard Tréemuel, Efstratios Gavves, Christoph Würsch, Klaus Frick, Robin Vetsch
Parameter-free Neural Field-based Optimal Design of Nonuniform Transmission Lines. ICECS (2023)
David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. ICLR (2023)
Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves
Graph Switching Dynamical Systems. CoRR (2023)
Lucas de Vries, Rudolf L. M. van Herten, Jan W. Hoving, Ivana Isgum, Bart J. Emmer, Charles B. L. M. Majoie, Henk A. Marquering, Efstratios Gavves
Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke. Medical Image Anal. 90 (2023)
Haochen Wang, Xiaolong Jiang, Xu Tang, Yao Hu, Cilin Yan, Weidi Xie, Shuai Wang, Efstratios Gavves
Towards Open-Vocabulary Video Instance Segmentation. ICCV (2023)
David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN. CoRR (2023)
Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR (2023)
Jie Liu, Yanqi Bao, Wenzhe Ying, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. CoRR (2023)
Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek
Motion Flow Matching for Human Motion Synthesis and Editing. CoRR (2023)
Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields. CoRR (2023)
Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
Memory-augmented Variational Adaptation for Online Few-shot Segmentation. ICCV (Workshops) (2023)
Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. ICCV (2023)
Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves
Learning Lie Group Symmetry Transformations with Neural Networks. CoRR (2023)
Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves
NFormer: Robust Person Re-identification with Neighbor Transformer. CoRR (2022)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
CITRIS: Causal Identifiability from Temporal Intervened Sequences. CoRR (2022)
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. CoRR (2022)
Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. CVPR (2022)
Adeel Pervez, Efstratios Gavves
Stability Regularization for Discrete Representation Learning. ICLR (2022)
Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Transformer for Few-shot Instance Segmentation. ACM Multimedia (2022)
Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves
3D Equivariant Graph Implicit Functions. ECCV (3) (2022)
Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. CoRR (2022)
David W. Romero, David M. Knigge, Albert Gu, Erik J. Bekkers, Efstratios Gavves, Jakub M. Tomczak, Mark Hoogendoorn
Towards a General Purpose CNN for Long Range Dependencies in ND. CoRR (2022)
Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves
3D Equivariant Graph Implicit Functions. CoRR (2022)
Jie Liu, Yanqi Bao, Wenzhe Ying, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. BMVC (2022)
Leonard Bereska, Efstratios Gavves
Continual Learning of Dynamical Systems With Competitive Federated Reservoir Computing. CoLLAs (2022)
Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. CoRR (2022)
Leonard Bereska, Efstratios Gavves
Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing. CoRR (2022)
Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli
Delta Distillation for Efficient Video Processing. ECCV (35) (2022)
Phillip Lippe, Taco Cohen, Efstratios Gavves
Efficient Neural Causal Discovery without Acyclicity Constraints. ICLR (2022)
Adeel Pervez, Phillip Lippe, Efstratios Gavves
Differentiable Mathematical Programming for Object-Centric Representation Learning. CoRR (2022)
Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves
NFormer: Robust Person Re-identification with Neighbor Transformer. CVPR (2022)
Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer. Medical Image Anal. 79 (2022)
ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel. NeurIPS (2022)
Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli
Delta Distillation for Efficient Video Processing. CoRR (2022)
Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen
Tumor tracking in 4D CT images for adaptive radiotherapy. Medical Imaging: Image Processing (2022)
Tessa van der Heiden, Herke van Hoof, Efstratios Gavves, Christoph Salge
Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment. CoRR (2022)
Riaan Zoetmulder, Efstratios Gavves, Matthan Caan, Henk A. Marquering
Domain- and task-specific transfer learning for medical segmentation tasks. Comput. Methods Programs Biomed. 214 (2022)
ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. CoRR (2021)
Phillip Lippe, Efstratios Gavves
Categorical Normalizing Flows via Continuous Transformations. ICLR (2021)
Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
Sparse-Shot Learning for Extremely Many Localisations. CoRR (2021)
Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. NeurIPS (2021)
Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek
Unsharp Mask Guided Filtering. IEEE Trans. Image Process. 30 (2021)
Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. ICCV (2021)
Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. CoRR (2021)
ChangYong Oh, Efstratios Gavves, Max Welling
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels. CoRR (2021)
Adeel Pervez, Efstratios Gavves
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders. ICML (2021)
Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek
Unsharp Mask Guided Filtering. CoRR (2021)
Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. CoRR (2021)
Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen
DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images. CoRR (2021)
ChangYong Oh, Efstratios Gavves, Max Welling
Mixed variable Bayesian optimization with frequency modulated kernels. UAI (2021)
Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, Efstratios Gavves
Neural Feature Matching in Implicit 3D Representations. ICML (2021)
Phillip Lippe, Taco Cohen, Efstratios Gavves
Efficient Neural Causal Discovery without Acyclicity Constraints. CoRR (2021)
Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling
Federated Mixture of Experts. CoRR (2021)
Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
Rotation Equivariant Siamese Networks for Tracking. CVPR (2021)
Shuai Liao, Efstratios Gavves, ChangYong Oh, Cees G. M. Snoek
Quasibinary Classifier for Images with Zero and Multiple Labels. ICPR (2020)
Adeel Pervez, Taco Cohen, Efstratios Gavves
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks. ICML (2020)
Andreas Panteli, Deepak K. Gupta, Nathan de Bruijn, Efstratios Gavves
Siamese Tracking of Cell Behaviour Patterns. MIDL (2020)
Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders
Model Decay in Long-Term Tracking. ICPR (2020)
Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders
Tackling Occlusion in Siamese Tracking with Structured Dropouts. CoRR (2020)
Mert Kilickaya, Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders
Self-Selective Context for Interaction Recognition. CoRR (2020)
Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
Rotation Equivariant Siamese Networks for Tracking. CoRR (2020)
Tessa van der Heiden, Christoph Salge, Efstratios Gavves, Herke van Hoof
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication. CoRR (2020)
Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
PointMixup: Augmentation for Point Clouds. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Efstratios Gavves