CL

Christos Louizos

cs.LGstat.MLcs.AIcs.ITmath.ITcs.CLcs.CRcs.DCcs.CVcs.MA

On Valency

published · living versions

Learning Sparse Neural Networks through $L_0$ Regularization

with Max Welling, Diederik P. Kingma

1 version

W_ttxsmxmgv1 · current

Relative Representations Enable Portable White-Box Monitoring Across Language Models

W_mqqpz75uv1

Monitorability Is Trainable: Post-Training for Chain-of-Thought Monitorability

W_938rdgm8v1

Preprints & journals

46 papers in the corpus · 2015–2026

Monitorability Is Trainable: Post-Training for Chain-of-Thought Monitorability

Usman Anwar, Tim Bakker, Christos Louizos et al.

0 citations

2610.29734v12026arXiv

Relative Representations Enable Portable White-Box Monitoring Across Language Models

Tim Bakker, Christos Louizos

0 citations

2610.28366v12026arXiv

Efficient Test-Time Adaptation For Robot Policies

Motasem Alfarra, Pietro Mazzaglia, Markus Peschl et al.

0 citations

2610.20318v12026arXiv

DiSCO: Defending text-to-image generation through distribution-guided contrastive prompt optimization

Tong Zhang, Motasem Alfarra, Carlos Hinojosa et al.

0 citations

2608.17067v12026arXiv

Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices

Hassan Dbouk, Matthias Reisser, Prathamesh Mandke et al.

0 citations

2606.19528v12026arXiv

Distilling Safe LLM Systems via Soft Prompts for On Device Settings

Motasem Alfarra, Cristina Pinneri, Dana Kianfar et al.

0 citations

2606.09388v1202642nd Conference on Uncertainty in Artificial Intelligence 2026

On Adaptivity in Zeroth-Order Optimization

Hassan Dbouk, Nidham Gazagnadou, Matthias Reisser et al.

0 citations

2605.03869v12026arXiv

Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory

Usman Anwar, Tim Bakker, Dana Kianfar et al.

0 citations

2602.18297v22026arXiv

Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models

Mingyu Cao, Alvaro H.C. Correia, Christos Louizos et al.

0 citations

2602.10953v22026arXiv

Private PoEtry: Private In-Context Learning via Product of Experts

Rob Romijnders, Mohammad Mahdi Derakhshani, Jonathan Petit et al.

0 citations

2602.05012v12026arXiv

Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models

Julianna Piskorz, Cristina Pinneri, Alvaro Correia et al.

0 citations

2511.21338v22025arXiv

Guarding the Meaning: Self-Supervised Training for Semantic Robustness in Guard Models

Cristina Pinneri, Christos Louizos

0 citations

2511.10665v12025arXiv

A Probabilistic Approach to Pose Synchronization for Multi-Reference Alignment with Applications to MIMO Wireless Communication Systems

Rob Romijnders, Gabriele Cesa, Christos Louizos et al.

0 citations

2511.03280v12025arXiv

Fundamental bounds on efficiency-confidence trade-off for transductive conformal prediction

Arash Behboodi, Alvaro H.C. Correia, Fabio Valerio Massoli et al.

0 citations

2509.04631v22025arXiv

Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence

Dharmesh Tailor, Alvaro H.C. Correia, Eric Nalisnick et al.

0 citations

2507.20272v12025arXiv

Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data

Alvaro H.C. Correia, Christos Louizos

0 citations

2507.10425v22025Advances in Neural Information Processing Systems 38 (NeurIPS 2025)

On Sampling Strategies for Spectral Model Sharding

Denis Korzhenkov, Christos Louizos

0 citations

2410.24106v12024arXiv

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits

Ashish Khisti, M.Reza Ebrahimi, Hassan Dbouk et al.

0 citations

2410.18234v22024arXiv

Variational Learning ISTA

Fabio Valerio Massoli, Christos Louizos, Arash Behboodi

0 citations

2407.06646v12024arXiv

Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data

Mahdi Morafah, Matthias Reisser, Bill Lin et al.

7 citations

2405.07925v12024arXiv

A Mutual Information Perspective on Federated Contrastive Learning

Christos Louizos, Matthias Reisser, Denis Korzhenkov

0 citations

2405.02081v12024arXiv

An Information Theoretic Perspective on Conformal Prediction

Alvaro H.C. Correia, Fabio Valerio Massoli, Christos Louizos et al.

5 citations

2405.02140v32024Advances in Neural Information Processing Systems 37 (NeurIPS 2024)

DNA: Differentially private Neural Augmentation for contact tracing

Rob Romijnders, Christos Louizos, Yuki M. Asano et al.

0 citations

2404.13381v22024arXiv

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning

Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer et al.

1 citation

2402.16848v12024arXiv

Importance Matching Lemma for Lossy Compression with Side Information

Buu Phan, Ashish Khisti, Christos Louizos

3 citations

2401.02609v32024arXiv

Protect Your Score: Contact Tracing With Differential Privacy Guarantees

Rob Romijnders, Christos Louizos, Yuki M. Asano et al.

4 citations

2312.11581v32023arXiv

Hyperparameter Optimization through Neural Network Partitioning

Bruno Mlodozeniec, Matthias Reisser, Christos Louizos

0 citations

2304.14766v12023arXiv

Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices

Kartik Gupta, Marios Fournarakis, Matthias Reisser et al.

13 citations

2206.10844v12022arXiv

An Expectation-Maximization Perspective on Federated Learning

Christos Louizos, Matthias Reisser, Joseph Soriaga et al.

5 citations

2111.10192v12021arXiv

DP-REC: Private & Communication-Efficient Federated Learning

Aleksei Triastcyn, Matthias Reisser, Christos Louizos

3 citations

2111.05454v22021arXiv

Federated Mixture of Experts

Matthias Reisser, Christos Louizos, Efstratios Gavves et al.

11 citations

2107.06724v12021arXiv

Federated Learning of User Verification Models Without Sharing Embeddings

Hossein Hosseini, Hyunsin Park, Sungrack Yun et al.

12 citations

2104.08776v22021arXiv

Improving Fair Predictions Using Variational Inference In Causal Models

Rik Helwegen, Christos Louizos, Patrick Forr'e

3 citations

2008.10880v12020arXiv

Federated Learning of User Authentication Models

Hossein Hosseini, Sungrack Yun, Hyunsin Park et al.

16 citations

2007.04618v12020arXiv

Bayesian Bits: Unifying Quantization and Pruning

Mart van Baalen, Christos Louizos, Markus Nagel et al.

76 citations

2005.07093v32020arXiv

Up or Down? Adaptive Rounding for Post-Training Quantization

Markus Nagel, Rana Ali Amjad, Mart van Baalen et al.

246 citations

2004.10568v22020arXiv

Gradient $\ell_1$ Regularization for Quantization Robustness

Milad Alizadeh, Arash Behboodi, Mart van Baalen et al.

10 citations

2002.07520v12020arXiv

The Functional Neural Process

Christos Louizos, Xiahan Shi, Klamer Schutte et al.

31 citations

1906.08324v22019arXiv

DIVA: Domain Invariant Variational Autoencoders

Maximilian Ilse, Jakub M. Tomczak, Christos Louizos et al.

137 citations

1905.10427v22019arXiv

Relaxed Quantization for Discretized Neural Networks

Christos Louizos, Matthias Reisser, Tijmen Blankevoort et al.

64 citations

1810.01875v12018arXiv

Learning Sparse Neural Networks through $L_0$ Regularization

Christos Louizos, Max Welling, Diederik P. Kingma

629 citations

1712.01312v22017arXiv

Bayesian Compression for Deep Learning

Christos Louizos, Karen Ullrich, Max Welling

353 citations

1705.08665v42017arXiv

Causal Effect Inference with Deep Latent-Variable Models

Christos Louizos, Uri Shalit, Joris Mooij et al.

359 citations

1705.08821v22017arXiv

Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

Christos Louizos, Max Welling

292 citations

1703.01961v22017arXiv

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Christos Louizos, Max Welling

138 citations

1603.04733v52016arXiv

The Variational Fair Autoencoder

Christos Louizos, Kevin Swersky, Yujia Li et al.

178 citations

1511.00830v62015arXiv

Career total: 57 works. 46 are in this corpus.

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