Paul Chauchat - RankMe

28 papers A 1C 1Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Willems' Lemma Reformulations: Which Operators Preserve LTI System Behavior? IEEE Control. Syst. Lett. Alexandre Faye-Bédrin, Paul Chauchat, Stanislav Aranovskiy, Romain Bourdais
2024	—	`conf`	A computationally efficient reformulation for Data-Enabled Predictive Control. CDC Alexandre Faye-Bédrin, Stanislav Aranovskiy, Paul Chauchat, Romain Bourdais
2024	—	`conf`	Insights on Adaptive Robust Filtering for Navigation Under Harsh Time-Varying Environments. EUSIPCO Paul Chauchat, Andrea Bellés, Daniel Medina, Jordi Vilà-Valls
2024	—	`conf`	Invariant Smoothing for Localization: Including the IMU Biases. CDC Paul Chauchat, Axel Barrau, Silvère Bonnabel
2024	—	`conf`	Invariant filtering for wheeled vehicle localization with unknown wheel radius and unknown GNSS lever arm. CDC Paul Chauchat, Axel Barrau, Silvère Bonnabel
2024	J	`jnl`	Invariant filtering for wheeled vehicle localization with unknown wheel radius and unknown GNSS lever arm. CoRR Paul Chauchat, Silvère Bonnabel, Axel Barrau
2024	J	`jnl`	Robust error-state Kalman-type filters for attitude estimation. EURASIP J. Adv. Signal Process. Andrea Bellés, Daniel Medina, Paul Chauchat, Samy Labsir, Jordi Vilà-Valls
2023	J	`jnl`	Invariant Smoothing for Localization: Including the IMU Biases. CoRR Paul Chauchat, Silvère Bonnabel, Axel Barrau
2023	—	`conf`	Maintaining a Relevant Dataset for Data-Driven MPC Using Willems' Fundamental Lemma Extensions. CDC Alexandre Faye-Bédrin, Stanislav Aranovskiy, Paul Chauchat, Romain Bourdais
2023	—	`conf`	Robust M-Type Error-State Kalman Filters for Attitude Estimation. EUSIPCO Andrea Bellés, Daniel Medina, Paul Chauchat, Samy Labsir, Jordi Vilà-Valls
2022	J	`jnl`	Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration With Rotating Earth. IEEE Trans. Robotics Martin Brossard, Axel Barrau, Paul Chauchat, Silvère Bonnabel
2022	—	`conf`	Invariant Smoothing with low process noise. CDC Paul Chauchat, Silvère Bonnabel, Axel Barrau
2022	J	`jnl`	Invariant Smoothing with low process noise. CoRR Paul Chauchat, Silvère Bonnabel, Axel Barrau
2022	J	`jnl`	Learning-Enhanced Adaptive Robust GNSS Navigation in Challenging Environments. IEEE Robotics Autom. Lett. Yi Ding, Paul Chauchat, Gaël Pagès, Philippe Asseman
2022	J	`jnl`	On the asymptotic behavior of linearly constrained filters for robust multi-channel signal processing. Signal Process. Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette
2022	J	`jnl`	Robust Information Filtering Under Model Mismatch for Large-Scale Dynamic Systems. IEEE Control. Syst. Lett. Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette
2022	J	`jnl`	Robust Kalman Smoothers With Linear Equality Constraints. IEEE Control. Syst. Lett. Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette
2022	J	`jnl`	Robust Linearly Constrained Invariant Filtering for a Class of Mismatched Nonlinear Systems. IEEE Control. Syst. Lett. Paul Chauchat, Jordi Vilà-Valls, Eric Chaumette
2021	J	`jnl`	Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization. IEEE Trans. Control. Syst. Technol. Paul Chauchat, Axel Barrau, Silvère Bonnabel
2021	C	`conf`	Robust Linearly Constrained Filtering for GNSS Position and Attitude Estimation under Antenna Baseline Mismatch. FUSION Paul Chauchat, Daniel Medina, Jordi Vilà-Valls, Eric Chaumette
2020	J	`jnl`	Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth. CoRR Martin Brossard, Axel Barrau, Paul Chauchat, Silvère Bonnabel
2020	J	`jnl`	Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization. CoRR Paul Chauchat, Axel Barrau, Silvère Bonnabel
2020	J	`jnl`	Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec
2020	—	`conf`	Introduction to Geometric Learning in Python with Geomstats. SciPy Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec
2020	—	`—`	Smoothing algorithms for navigation, localisation and mapping based on high-grade inertial sensors. (Algorithmes de lissage pour la navigation, la localisation et la cartographie, basés sur des capteurs inertiels haute qualité). Paul Chauchat
2018	J	`jnl`	Invariant Smoothing on Lie Groups. CoRR Paul Chauchat, Axel Barrau, Silvère Bonnabel
2018	A	`conf`	Invariant smoothing on Lie Groups. IROS Paul Chauchat, Axel Barrau, Silvère Bonnabel
2017	—	`conf`	Kalman filtering with a class of geometric state equality constraints. CDC Paul Chauchat, Axel Barrau, Silvère Bonnabel

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.