output
20032025
most citedRevisiting Classifier Two-Sample Tests

58 citations

18 papers

cs.CV2025

Optimal transport unlocks end-to-end learning for single-molecule localization

Romain Seailles, Jean-Baptiste Masson, Jean Ponce +1

Single-molecule localization microscopy (SMLM) allows reconstructing biology-relevant structures beyond the diffraction limit by detecting and localizing individual fluorophores --…

cs.RO2025

On the Conic Complementarity of Planar Contacts

Yann de Mont-Marin, Louis Montaut, Jean Ponce +2

We present a unifying theoretical result that connects two foundational principles in robotics: the Signorini law for point contacts, which underpins many simulation methods for pr…

cs.LG2025

Dual Perspectives on Non-Contrastive Self-Supervised Learning

Jean Ponce, Basile Terver, Martial Hebert +1

The {\em stop gradient} and {\em exponential moving average} iterative procedures are commonly used in non-contrastive approaches to self-supervised learning to avoid representatio…

cs.RO2025

Extended URDF: Accounting for parallel mechanism in robot description

Virgile Batto, Ludovic de Matteis, Nicolas Mansard

Robotic designs played an important role in recent advances by providing powerful robots with complex mechanics. Many recent systems rely on parallel actuation to provide lighter l…

cs.RO2025★ 1 cited

Control of Humanoid Robots with Parallel Mechanisms using Differential Actuation Models

Victor Lutz, Ludovic de Matteis, Virgile Batto +1

Several recently released humanoid robots, inspired by the mechanical design of Cassie, employ actuator configurations in which the motors are displaced from the joints to reduce l…

q-bio.QM2024

i-GRIP, a Grasping Movement Intention Estimator for Intuitive Control of Assistive Devices

Etienne Moullet, Justin Carpentier, Christine Azevedo Coste +1

This study describes and evaluates i-GRIP, a novel movement intention estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upper…

cs.RO2024

A Data-driven Contact Estimation Method for Wheeled-Biped Robots

Ü. Bora Gökbakan, Frederike Dümbgen, Stéphane Caron

Contact estimation is a key ability for limbed robots, where making and breaking contacts has a direct impact on state estimation and balance control. Existing approaches typically…

q-bio.QM2024

A Grasping Movement Intention Estimator for Intuitive Control of Assistive Devices

Etienne Moullet, François Bailly, Justin Carpentier +1

This study introduces i-GRIP, an innovative movement goal estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upperlimb impairm…

cs.RO2024

Parallel and Proximal Constrained Linear-Quadratic Methods for Real-Time Nonlinear MPC

Wilson Jallet, Ewen Dantec, Etienne Arlaud +2

Recent strides in nonlinear model predictive control (NMPC) underscore a dependence on numerical advancements to efficiently and accurately solve large-scale problems. Given the su…

q-bio.QM2023

Vision-based interface for grasping intention detection and grip selection : towards intuitive upper-limb assistive devices

Etienne Moullet, François Bailly, Justin Carpentier +1

Assistive devices for indivuals with upper-limb movement often lack controllability and intuitiveness, in particular for grasping function. In this work, we introduce a novel user…

cs.RO2022

Constrained Differential Dynamic Programming: A primal-dual augmented Lagrangian approach

Wilson Jallet, Antoine Bambade, Nicolas Mansard +1

Trajectory optimization is an efficient approach for solving optimal control problems for complex robotic systems. It relies on two key components: first the transcription into a s…

cs.RO2022★ 1 cited

ProxNLP: a primal-dual augmented Lagrangian solver for nonlinear programming in Robotics and beyond

Wilson Jallet, Antoine Bambade, Nicolas Mansard +1

Mathematical optimization is the workhorse behind several aspects of modern robotics and control. In these applications, the focus is on constrained optimization, and the ability t…

cs.LG2022★ 24 cited

On the duality between contrastive and non-contrastive self-supervised learning

Quentin Garrido, Yubei Chen, Adrien Bardes +2

Recent approaches in self-supervised learning of image representations can be categorized into different families of methods and, in particular, can be divided into contrastive and…

cs.LG2021★ 11 cited

Residual Reinforcement Learning from Demonstrations

Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal +2

Residual reinforcement learning (RL) has been proposed as a way to solve challenging robotic tasks by adapting control actions from a conventional feedback controller to maximize a…

stat.ML2016★ 58 cited

Revisiting Classifier Two-Sample Tests

David Lopez-Paz, Maxime Oquab

The goal of two-sample tests is to assess whether two samples, and , are drawn from the same distribution. Perhaps intriguingly, one relatively unexplo…

math.GM2003★ 4 cited

The Collatz 3n+1 Conjecture is Unprovable

Craig Alan Feinstein

In this paper, we show that any proof of the Collatz 3n+1 Conjecture must have an infinite number of lines; therefore, no formal proof is possible.

cs.CC2003

Machine-Checked Formalization of Earlier Arguments on versus Using Isabelle/HOL

Craig Alan Feinstein

This letter revisits an earlier argument concerning versus based on the SUBSET-SUM problem and examines its formalization in Isabelle/HOL. The formal dev…

math.GM2003

The Riemann Hypothesis is Unprovable

Craig Alan Feinstein

In this note, we give a simple proof that the Riemann Hypothesis is unprovable in any reasonable axiom system.