Paris Giampouras

19 papers A* 6Misc 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representational Alignment. CoRR Loukas Sfountouris, Giannis Daras, Paris Giampouras
2025	J	`jnl`	DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models. CoRR Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025	J	`jnl`	Distributionally Robust Causal Abstractions. CoRR Yorgos Felekis, Theodoros Damoulas, Paris Giampouras
2025	A*	`conf`	Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework. ICML Terje Mildner, Oliver Hamelijnck, Paris Giampouras, Theodoros Damoulas
2025	J	`jnl`	Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework. CoRR Terje Mildner, Oliver Hamelijnck, Paris Giampouras, Theodoros Damoulas
2025	A*	`conf`	Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery. ICML Paris Giampouras, HanQin Cai, René Vidal
2024	J	`jnl`	Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery. CoRR Paris Giampouras, HanQin Cai, René Vidal
2023	J	`jnl`	A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions. CoRR Darshan Thaker, Paris Giampouras, René Vidal
2023	—	`conf`	Clustering-based Domain-Incremental Learning. ICCV (Workshops) Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
2023	J	`jnl`	Clustering-based Domain-Incremental Learning. CoRR Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
2023	A*	`conf`	The Ideal Continual Learner: An Agent That Never Forgets. ICML Liangzu Peng, Paris Giampouras, René Vidal
2022	A*	`conf`	Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. ICLR Paris Giampouras, Benjamin David Haeffele, René Vidal
2022	A*	`conf`	Reverse Engineering ℓ ICML Darshan Thaker, Paris Giampouras, René Vidal
2022	J	`jnl`	Reverse Engineering 𝓁 CoRR Darshan Thaker, Paris Giampouras, René Vidal
2020	A*	`conf`	A novel variational form of the Schatten-$p$ quasi-norm. NeurIPS Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele
2020	J	`jnl`	A novel variational form of the Schatten-p quasi-norm. CoRR Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele
2015	—	`conf`	Online Bayesian low-rank subspace learning from partial observations. EUSIPCO Paris Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos Koutroumbas
2015	J	`jnl`	Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing. CoRR Paris Giampouras, Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2013	Misc	`conf`	Artificial Neural Network Approach for Land Cover Classification of Fused Hyperspectral and Lidar Data. AIAI Paris Giampouras, Eleni Charou, Anastasios L. Kesidis