EDIC Published theses

2025

Theses

The Tight Cost of Byzantine Agreement

M. J. Ribeiro Vidigueira / R. Guerraoui (Dir.)  

Lausanne, EPFL, 2025. 

How to Make Measure Theory Completely Pointless

P. Quinton / E. Telatar (Dir.)  

Lausanne, EPFL, 2025. 

Responsibly Building Multilingual Language Models for Hundreds of Languages

N. Foroutan Eghlidi / K. Aberer; A. Bosselut (Dir.)  

Lausanne, EPFL, 2025. 

Improved Gradients for Inverse Rendering

B. Nicolet / W. Jakob (Dir.)  

Lausanne, EPFL, 2025. 

Texture Synthesis using Neural Cellular Automata

E. Pajouheshgar / S. Süsstrunk (Dir.)  

Lausanne, EPFL, 2025. 

Image-based Pose Estimation for Previously-Unseen Objects

C. Zhao / M. Salzmann; P. Fua (Dir.)  

Lausanne, EPFL, 2025. 

On the identifiability and estimation of causal effects

Y. Kivva / N. Kiyavash (Dir.)  

Lausanne, EPFL, 2025. 

Methodological Advances in Causal Inference: Experimentation, Identification and Estimation

S. Akbari / N. Kiyavash (Dir.)  

Lausanne, EPFL, 2025. 

Personalizing Learning and Empowering Educators through Multi-Dimensional Clustering, Teacher Dashboards, and AI-Hybrid Learning Systems

P. Mejia-Domenzain / T. C. Käser Jacober (Dir.)  

Lausanne, EPFL, 2025. 

Generalised Modeling of Inquiry Behaviour: From Learning to Understanding

J. M. L. Cock / T. C. Käser Jacober (Dir.)  

Lausanne, EPFL, 2025. 

Votegral: Towards Usable, End-to-End Verifiable, Coercion-Resistant Online Voting

L-H. M. J. Merino / B. A. Ford (Dir.)  

Lausanne, EPFL, 2025. 

Noisy Quantum Communication and Computation

D. K. S. Abdelhadi / R. Urbanke; J. Renes (Dir.)  

Lausanne, EPFL, 2025. 

Robust, Generalizable, and Reproducible Computational Imaging: A Lensless Perspective

E. Bezzam / M. Vetterli (Dir.)  

Lausanne, EPFL, 2025. 

Data Heterogeneity in Linear Distributed Estimation and Learning

A. Pradeep / M. C. Gastpar (Dir.)  

Lausanne, EPFL, 2025. 

Causal Discovery and Causal Effect Identification

E. Mokhtarian / N. Kiyavash (Dir.)  

Lausanne, EPFL, 2025. 

Exploration of Commonsense Causality

S. Cui / B. Faltings; A. Bosselut (Dir.)  

Lausanne, EPFL, 2025. 

Enhancing the Receiver-Driven Transport Paradigm with Sender Congestion Information

K. Prasopoulos / E. Bugnion; E. M. Kogias (Dir.)  

Lausanne, EPFL, 2025. 

Towards Visually-Plausible and Controllable 3D Representations

D. Wang / S. Süsstrunk (Dir.)  

Lausanne, EPFL, 2025. 

Scaling the Modalities in Multimodal Foundation Models

O. F. Kar / A. Roshan Zamir (Dir.)  

Lausanne, EPFL, 2025. 

Robust and Efficient Collaborative Learning

S. Farhadkhani / R. Guerraoui (Dir.)  

Lausanne, EPFL, 2025. 

Transparent Multicore Scaling of Single-Threaded Network Functions with Performance Clarity

L. Yan / G. Candea (Dir.)  

Lausanne, EPFL, 2025. 

Robust and High-Performance Wide-Area Consensus Protocols

P. N. Tennage / B. A. Ford; E. Kokoris Kogias (Dir.)  

Lausanne, EPFL, 2025. 

Parameter-efficient Methods for Training and Inference of Transformer-based Models

M. Banaei / K. Aberer (Dir.)  

Lausanne, EPFL, 2025. 

Sequential Reasoning with Socially Caused Beliefs

M. Kayaalp / A. H. Sayed (Dir.)  

Lausanne, EPFL, 2025. 

Nonconvex optimization: nonisolated minimizers and benign landscapes

Q. Rebjock / N. Boumal (Dir.)  

Lausanne, EPFL, 2025. 

Learning to Reason with Neural Networks: Principles and Methods

A. Lotfi Jandaghi / E. Abbé (Dir.)  

Lausanne, EPFL, 2025. 

Securing low-level code with minimal developer efforts: from preventing type confusion by design to automated library fuzzing

N. D. Badoux / M. J. Payer (Dir.)  

Lausanne, EPFL, 2025. 

The Power of Decision Trees for Composition and Search Problems

G. T. Maystre / M. Göös (Dir.)  

Lausanne, EPFL, 2025. 

The Cost of Trust in Machine Learning: Privacy, Robustness, Unlearning, and their Interactions

Y. Allouah / R. Guerraoui (Dir.)  

Lausanne, EPFL, 2025. 

Visual Correspondence : From Geometry, Appearance, to Reasoning Across Vision Tasks

Y. Ren / S. Süsstrunk (Dir.)  

Lausanne, École Polytechnique Fédérale de Lausanne, 2025. 

Uncertainty in Modern Deep Learning

N. Durasov / P. Fua (Dir.)  

Lausanne, EPFL, 2025. 

Robust and Personalized Federated Learning: Handling Data Corruption and Heterogeneity

L. Rokvic / B. Faltings (Dir.)  

Lausanne, EPFL, 2025. 

Privacy and Robustness in Federated Learning: From Theoretical Insights to Practical Implementation

J. Stephan / R. Guerraoui (Dir.)  

Lausanne, EPFL, 2025. 

Scalable Methods for Knowledge Graph Reasoning and Generation

A. Janchevski / V. Cevher (Dir.)  

Lausanne, EPFL, 2025. 

Computational Design of Deployable Gridshells with Curved Elastic Beams

Q. Becker / M. Pauly (Dir.)  

Lausanne, EPFL, 2025. 

Beyond the ratchet: practical challenges in secure messaging

S. Colombo / B. A. Ford (Dir.)  

Lausanne, EPFL, 2025. 

Computational Imaging: a Multi-Facet Perspective

S. Kashani / M. Vetterli; P. Hurley (Dir.)  

Lausanne, EPFL, 2025. 

Improving Human Pose & Shape Estimation with Explicit and Implicit Priors

A. Davydov / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2025. 

Theoretical characterization of uncertainty in high-dimensional machine learning

L. A. Clarte / L. Zdeborová (Dir.)  

Lausanne, EPFL, 2025. 

Logic Synthesis and Optimization for CMOS and Post-CMOS Technologies

D. S. Marakkalage / G. De Micheli (Dir.)  

Lausanne, EPFL, 2025. 

On Adversarial Robustness and its Practical Applications

K. Kireev / C. González Troncoso (Dir.)  

Lausanne, EPFL, 2025. 

Optimal Byzantine Agreement with Little Cryptography

J. Komatovic / R. Guerraoui (Dir.)  

Lausanne, EPFL, 2025. 

Structure and Computation in Disordered Systems and Neural Networks

F. Behrens / L. Zdeborová (Dir.)  

Lausanne, EPFL, 2025. 

Deployable, Modular, and Reconfigurable: Computational Design of Umbrella Meshes

U. Kusupati / M. Pauly (Dir.)  

Lausanne, EPFL, 2025. 

Neural Garment Modeling

R. Li / P. Fua (Dir.)  

Lausanne, EPFL, 2025. 

Collaborative AI Agents in the Era of Large Language Models

M. Josifoski / R. West (Dir.)  

Lausanne, EPFL, 2025. 

Graph sparsification, sketching and adaptivity

M. Makarov / M. Kapralov (Dir.)  

Lausanne, EPFL, 2025. 

Enhanced Architectures and Optimization Methods for Efficient Language Modeling

A. Mohtashami / M. Jaggi (Dir.)  

Lausanne, EPFL, 2025. 

Automated Induction for Proving Program Equivalence

D. Milovancevic / V. Kuncak (Dir.)  

Lausanne, EPFL, 2025. 

Cryptography Under Counter-Intuitive Settings

A. Talayhan / S. Vaudenay (Dir.)  

Lausanne, EPFL, 2025. 

A Human-Centric Approach to Explainable AI for Personalized Education

V. Swamy / T. C. Käser Jacober; M. Jaggi (Dir.)  

Lausanne, EPFL, 2025. 

2024

Theses

Discovering meaningful units from text sequences

M. Behjati / A. Alahi; J. Henderson (Dir.)  

Lausanne, EPFL, 2024. 

Quantum Protocols for ML, Physics, and Finance

G. A. Gluch / M. Kapralov; R. Urbanke (Dir.)  

Lausanne, EPFL, 2024. 

Extensions of Peer Prediction Incentive Mechanisms

A. J. Richardson / B. Faltings (Dir.)  

Lausanne, EPFL, 2024. 

Incorporating Projective Geometry into Deep Learning

M. J. Tyszkiewicz / P. Fua (Dir.)  

Lausanne, EPFL, 2024. 

Technology Mapping and Optimization Algorithms for Logic Synthesis of Advanced Technologies

A. Tempia Calvino / G. De Micheli (Dir.)  

Lausanne, EPFL, 2024. 

Self-indexing Algorithms for Graph Representations of Genomic References

Ü. Öztürk / M. Mattavelli (Dir.)  

Lausanne, EPFL, 2024. 

Planetary-Scale Byzantine Fault Tolerance

M. Monti / R. Guerraoui (Dir.)  

Lausanne, EPFL, 2024. 

Extending Capabilities of Attention-based Models

A. Pannatier / P. Frossard; F. Fleuret (Dir.)  

Lausanne, EPFL, 2024. 

Privacy and Confidentiality in Machine Learning and Data Analysis: Understanding Risks and Developing Protections

V. Hartmann / R. West (Dir.)  

Lausanne, EPFL, 2024. 

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

E. P. G. Courdier / F. Fleuret; A. Roshan Zamir (Dir.)  

Lausanne, EPFL, 2024. 

Efficient Approximate Analytics via Adaptive Context-Conscious Query Processing

V. Sanca / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2024. 

Secure Interface Design Leveraging Hardware/Software Support

A. Bhattacharyya / M. J. Payer; B. Falsafi (Dir.)  

Lausanne, EPFL, 2024. 

To Infinity, and Beyond (Coverage)

A. Hazimeh / M. J. Payer (Dir.)  

Lausanne, EPFL, 2024. 

Towards Language Learning From Passive Exposures To In-Context Examples

L. H. Klein / R. West (Dir.)  

Lausanne, EPFL, 2024. 

Random matrix methods for high-dimensional machine learning models

A. P. M. Bodin / N. Macris (Dir.)  

Lausanne, EPFL, 2024. 

Localizing Traffic Differentiation Practices on the Internet

Z. Shmeis / K. Argyraki (Dir.)  

Lausanne, EPFL, 2024. 

Content Moderation in Online Platforms

M. Horta Ribeiro / R. West (Dir.)  

Lausanne, EPFL, 2024. 

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

S-Y. Lee / G. De Micheli (Dir.)  

Lausanne, EPFL, 2024. 

Automated Formal Verification of Software Network Functions

S. V. Pirelli / G. Candea (Dir.)  

Lausanne, EPFL, 2024. 

Secure and Efficient Cryptographic Algorithms in a Quantum World

L. E. Huguenin-Dumittan / S. Vaudenay (Dir.)  

Lausanne, EPFL, 2024. 

Modeling and Enhancing Human Knowledge Navigation

A. Arora / R. West (Dir.)  

Lausanne, EPFL, 2024. 

Robustness of gossip-based protocols

A. Kucherenko / A-M. Kermarrec; R. Guerraoui (Dir.)  

Lausanne, EPFL, 2024. 

Side-channel analysis of isogeny-based key encapsulation mechanisms and hash-based digital signatures

A. Genet / S. Vaudenay; A. Lenstra (Dir.)  

Lausanne, EPFL, 2024. 

Safe Deep Neural Networks

K. M. Matoba / P. Vandergheynst; F. Fleuret (Dir.)  

Lausanne, EPFL, 2024. 

On the Theory and Practice of Modern Secure Messaging

D. P. Collins / S. Vaudenay (Dir.)  

Lausanne, EPFL, 2024. 

Understanding generalization and robustness in modern deep learning

M. Andriushchenko / N. H. B. Flammarion (Dir.)  

Lausanne, EPFL, 2024. 

Formal Foundations of Capture Tracking

A. S. Boruch-Gruszecki / M. Odersky (Dir.)  

Lausanne, EPFL, 2024. 

Aggregating Spatial and Photometric Context for Photometric Stereo

D. Honzátko / P. Fua; E. Türetken (Dir.)  

Lausanne, EPFL, 2024. 

Understanding and Enhancing Digital Wellbeing Dimensions: Empirical Studies on Smartphone Usage Patterns and Recommendations of Micro-Informative Content

R. Islambouli / D. Gillet; S. Ingram (Dir.)  

Lausanne, EPFL, 2024. 

Post-Quantum Code-Based Cryptography

B. M. D. Tran / S. Vaudenay (Dir.)  

Lausanne, EPFL, 2024. 

On Speed and Advantage : Results in Information Velocity and Monitoring Problems

R. Inovan / E. Telatar (Dir.)  

Lausanne, EPFL, 2024. 

Efficient Operational Analytics on Fresh Data

A. Raza / A. Ailamaki (Dir.)  

Lausanne, EPFL, 2024. 

Scalable constrained optimization

M-L. Vladarean / N. H. B. Flammarion (Dir.)  

Lausanne, EPFL, 2024. 

Computational Inverse Design of Shape Morphing Structures

Y. Ren / M. Pauly; F. J. Panetta (Dir.)  

Lausanne, EPFL, 2024. 

Electrical-Level Fault-Injection Attacks on FPGA-Based Systems

D. G. A. S. Mahmoud / B. Falsafi; M. Stojilovic (Dir.)  

Lausanne, EPFL, 2024. 

Fair real-time control of energy storage systems in active distribution networks in the presence of uncertainties

P. Grammatikos / M. Paolone; J-Y. Le Boudec (Dir.)  

Lausanne, EPFL, 2024. 

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

A. Koloskova / M. Jaggi; S. U. Stich (Dir.)  

Lausanne, EPFL, 2024. 

On the fundamental limits of privacy-enhancing technologies

T. Stadler / C. Troncoso (Dir.)  

Lausanne, EPFL, 2024. 

Deep Learning Theory Through the Lens of Diagonal Linear Networks

S. W. Pesme / N. H. B. Flammarion (Dir.)  

Lausanne, EPFL, 2024. 

Spectral Estimators for High-Dimensional Matrix Inference

F. Pourkamali / N. Macris (Dir.)  

Lausanne, EPFL, 2024. 

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

A. Modirshanechi / W. Gerstner (Dir.)  

Lausanne, EPFL, 2024. 

Visual Saliency Prediction for Natural Images, Comics Panels, and Comics Pages

B. Aydemir / S. Süsstrunk (Dir.)  

Lausanne, EPFL, 2024. 

Highly Parallel RTL Simulation

S. Emami / E. Bugnion; J. R. Larus (Dir.)  

Lausanne, EPFL, 2024. 

Towards General-Purpose Decentralized Computing with Permissionless Extensibility

E. C. Alp / B. A. Ford (Dir.)  

Lausanne, EPFL, 2024. 

2023

Theses

Challenging the Assumptions: Rethinking Privacy, Bias, and Security in Machine Learning

B. Kulynych / C. González Troncoso (Dir.)  

Lausanne, EPFL, 2023. 

Universal and adaptive methods for robust stochastic optimization

A. Kavis / V. Cevher (Dir.)  

Lausanne, EPFL, 2023. 

Multiparty Homomorphic Encryption: from Theory to Practice

C. V. Mouchet / C. González Troncoso; J-P. Hubaux (Dir.)  

Lausanne, EPFL, 2023. 

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

M. F. Sahin / V. Cevher (Dir.)  

Lausanne, EPFL, 2023. 

Decision Procedures for Power Structures

R. Raya / V. Kuncak (Dir.)  

Lausanne, EPFL, 2023.