Christos Louizos

68 papers A* 15A 4Journal 42Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory. CoRR Usman Anwar, Tim Bakker, Dana Kianfar, Cristina Pinneri, Christos Louizos
2026	J	`jnl`	Private PoEtry: Private In-Context Learning via Product of Experts. CoRR Rob Romijnders, Mohammad Mahdi Derakhshani, Jonathan Petit, Max Welling, Christos Louizos, Yuki M. Asano
2026	J	`jnl`	Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models. CoRR Mingyu Cao, Alvaro H. C. Correia, Christos Louizos, Shiwei Liu, Lu Yin
2025	J	`jnl`	A Probabilistic Approach to Pose Synchronization for Multi-Reference Alignment with Applications to MIMO Wireless Communication Systems. CoRR Rob Romijnders, Gabriele Cesa, Christos Louizos, Kumar Pratik, Arash Behboodi
2025	A*	`conf`	Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence. ICLR Dharmesh Tailor, Alvaro H. C. Correia, Eric T. Nalisnick, Christos Louizos
2025	J	`jnl`	Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence. CoRR Dharmesh Tailor, Alvaro H. C. Correia, Eric T. Nalisnick, Christos Louizos
2025	J	`jnl`	Fundamental bounds on efficiency-confidence trade-off for transductive conformal prediction. CoRR Arash Behboodi, Alvaro H. C. Correia, Fabio Valerio Massoli, Christos Louizos
2025	J	`jnl`	Guarding the Meaning: Self-Supervised Training for Semantic Robustness in Guard Models. CoRR Cristina Pinneri, Christos Louizos
2025	J	`jnl`	Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models. CoRR Julianna Piskorz, Cristina Pinneri, Alvaro H. C. Correia, Motasem Alfarra, Risheek Garrepalli, Christos Louizos
2025	A*	`conf`	Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits. ICLR Ashish J. Khisti, MohammadReza Ebrahimi, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos
2025	J	`jnl`	Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data. CoRR Alvaro H. C. Correia, Christos Louizos
2025	J	`jnl`	Test-Time Adaptation with Source Based Auxiliary Tasks. Trans. Mach. Learn. Res. Motasem Alfarra, Alvaro H. C. Correia, Bernard Ghanem, Christos Louizos
2024	A*	`conf`	A Mutual Information Perspective on Federated Contrastive Learning. ICLR Christos Louizos, Matthias Reisser, Denis Korzhenkov
2024	J	`jnl`	A Mutual Information Perspective on Federated Contrastive Learning. CoRR Christos Louizos, Matthias Reisser, Denis Korzhenkov
2024	A*	`conf`	An Information Theoretic Perspective on Conformal Prediction. NeurIPS Alvaro H. C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi
2024	J	`jnl`	An Information Theoretic Perspective on Conformal Prediction. CoRR Alvaro H. C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi
2024	J	`jnl`	DNA: Differentially private Neural Augmentation for contact tracing. CoRR Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
2024	A	`conf`	Importance Matching Lemma for Lossy Compression with Side Information. AISTATS Buu Phan, Ashish Khisti, Christos Louizos
2024	J	`jnl`	Importance Matching Lemma for Lossy Compression with Side Information. CoRR Buu Phan, Ashish Khisti, Christos Louizos
2024	A	`conf`	InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. BMVC Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian
2024	J	`jnl`	InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. CoRR Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian
2024	J	`jnl`	Multi-Draft Speculative Sampling: Canonical Architectures and Theoretical Limits. CoRR Ashish Khisti, MohammadReza Ebrahimi, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos
2024	A*	`conf`	On Sampling Strategies for Spectral Model Sharding. NeurIPS Denis Korzhenkov, Christos Louizos
2024	J	`jnl`	On Sampling Strategies for Spectral Model Sharding. CoRR Denis Korzhenkov, Christos Louizos
2024	A*	`conf`	Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. AAAI Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
2024	J	`jnl`	Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data. CoRR Mahdi Morafah, Matthias Reisser, Bill Lin, Christos Louizos
2024	J	`jnl`	Variational Learning ISTA. CoRR Fabio Valerio Massoli, Christos Louizos, Arash Behboodi
2024	J	`jnl`	Variational Learning ISTA. Trans. Mach. Learn. Res. Fabio Valerio Massoli, Christos Louizos, Arash Behboodi
2023	A	`conf`	Federated Learning Toolkit with Voice-based User Verification Demo. INTERSPEECH Prathamesh Mandke, Rachel Oberst, Matthias Reisser, Avijit Chakraborty, Christos Louizos, Joseph Soriaga, Daniel Madrigal Díaz, Andre Manoel, Nalin Singal, Jeff Omhover, Robert Sim
2023	A*	`conf`	Hyperparameter Optimization through Neural Network Partitioning. ICLR Bruno Mlodozeniec, Matthias Reisser, Christos Louizos
2023	J	`jnl`	Hyperparameter Optimization through Neural Network Partitioning. CoRR Bruno Mlodozeniec, Matthias Reisser, Christos Louizos
2023	A	`conf`	No time to waste: practical statistical contact tracing with few low-bit messages. AISTATS Rob Romijnders, Yuki M. Asano, Christos Louizos, Max Welling
2023	J	`jnl`	Protect Your Score: Contact Tracing With Differential Privacy Guarantees. CoRR Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
2023	J	`jnl`	Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. Trans. Mach. Learn. Res. Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
2022	J	`jnl`	Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
2021	J	`jnl`	An Expectation-Maximization Perspective on Federated Learning. CoRR Christos Louizos, Matthias Reisser, Joseph Soriaga, Max Welling
2021	J	`jnl`	DP-REC: Private & Communication-Efficient Federated Learning. CoRR Aleksei Triastcyn, Matthias Reisser, Christos Louizos
2021	A*	`conf`	Federated Learning of User Verification Models Without Sharing Embeddings. ICML Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling
2021	J	`jnl`	Federated Learning of User Verification Models Without Sharing Embeddings. CoRR Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling
2021	J	`jnl`	Federated Mixture of Experts. CoRR Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling
2020	A*	`conf`	Bayesian Bits: Unifying Quantization and Pruning. NeurIPS Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling
2020	J	`jnl`	Bayesian Bits: Unifying Quantization and Pruning. CoRR Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling
2020	—	`conf`	DIVA: Domain Invariant Variational Autoencoders. MIDL Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling
2020	J	`jnl`	Federated Learning of User Authentication Models. CoRR Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling
2020	A*	`conf`	Gradient $\ell_1$ Regularization for Quantization Robustness. ICLR Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling
2020	J	`jnl`	Gradient 𝓁 CoRR Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling
2020	J	`jnl`	Improving Fair Predictions Using Variational Inference In Causal Models. CoRR Rik Helwegen, Christos Louizos, Patrick Forré
2020	A*	`conf`	Up or Down? Adaptive Rounding for Post-Training Quantization. ICML Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort
2020	J	`jnl`	Up or Down? Adaptive Rounding for Post-Training Quantization. CoRR Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort
2019	—	`conf`	DIVA: Domain Invariant Variational Autoencoder. DGS@ICLR Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling
2019	J	`jnl`	DIVA: Domain Invariant Variational Autoencoders. CoRR Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling
2019	—	`conf`	Relaxed Quantization for Discretized Neural Networks. ICLR (Poster) Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling
2019	A*	`conf`	The Functional Neural Process. NeurIPS Christos Louizos, Xiahan Shi, Klamer Schutte, Max Welling
2019	J	`jnl`	The Functional Neural Process. CoRR Christos Louizos, Xiahan Shi, Klamer Schutte, Max Welling
2018	—	`conf`	Learning Sparse Neural Networks through L_0 Regularization. ICLR (Poster) Christos Louizos, Max Welling, Diederik P. Kingma
2018	J	`jnl`	Relaxed Quantization for Discretized Neural Networks. CoRR Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling
2017	—	`conf`	Bayesian Compression for Deep Learning. NIPS Christos Louizos, Karen Ullrich, Max Welling
2017	J	`jnl`	Bayesian Compression for Deep Learning. CoRR Christos Louizos, Karen Ullrich, Max Welling
2017	—	`conf`	Causal Effect Inference with Deep Latent-Variable Models. NIPS Christos Louizos, Uri Shalit, Joris M. Mooij, David A. Sontag, Richard S. Zemel, Max Welling
2017	J	`jnl`	Causal Effect Inference with Deep Latent-Variable Models. CoRR Christos Louizos, Uri Shalit, Joris M. Mooij, David A. Sontag, Richard S. Zemel, Max Welling
2017	J	`jnl`	Learning Sparse Neural Networks through L CoRR Christos Louizos, Max Welling, Diederik P. Kingma
2017	A*	`conf`	Multiplicative Normalizing Flows for Variational Bayesian Neural Networks. ICML Christos Louizos, Max Welling
2017	J	`jnl`	Multiplicative Normalizing Flows for Variational Bayesian Neural Networks. CoRR Christos Louizos, Max Welling
2016	A*	`conf`	Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors. ICML Christos Louizos, Max Welling
2016	J	`jnl`	Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors. CoRR Christos Louizos, Max Welling
2016	A*	`conf`	The Variational Fair Autoencoder. ICLR Christos Louizos, Kevin Swersky, Yujia Li, Max Welling, Richard S. Zemel
2015	J	`jnl`	Argument Extraction from News, Blogs, and the Social Web. Int. J. Artif. Intell. Tools Theodosios Goudas, Christos Louizos, Georgios Petasis, Vangelis Karkaletsis
2014	—	`conf`	Argument Extraction from News, Blogs, and Social Media. SETN Theodosios Goudas, Christos Louizos, Georgios Petasis, Vangelis Karkaletsis