3 citations · 7 across the 18 of their papers we have counts for
19 papers
Exact computation of quantum wave functions for nonlinear potentials
Winfried Loghmiller, Jean-Jacques Slotine
Recent work shows that the Schroedinger equation can be solved exactly based only on classical least action rspa.2025.0413. The computation is based on first solving a Hamilton-Jac…
Interpreting Bohm-like quantum potentials in "Computing quantum waves exactly from classical action"
Winfried Lohmiller, Jean-Jacques Slotine
Comment on arXiv:2605.02621 [23] and arXiv:2606.05197 [24]: In contrast to his earlier comment [23] on rspa.2025.0413 [12] and answered in arXiv:2605.20443 [11], the same author of…
Riemannian Optimization in Modular Systems
Christian Pehle, Jean-Jacques Slotine
Understanding how systems built out of modular components can be jointly optimized is an important problem in biology, engineering, and machine learning. The backpropagation algori…
Unlocked Backpropagation using Wave Scattering
Christian Pehle, Jean-Jacques Slotine
Both the backpropagation algorithm in machine learning and the maximum principle in optimal control theory are posed as a two-point boundary problem, resulting in a "forward-backwa…
NRGPT: An Energy-based Alternative for GPT
Nima Dehmamy, Benjamin Hoover, Bishwajit Saha +3
Generative Pre-trained Transformer (GPT) architectures are the most popular design for language modeling. Energy-based modeling is a different paradigm that views inference as a dy…
Thermodynamic structure of the Sinkhorn flow
Anand Srinivasan, Jean-Jacques Slotine
Entropy-regularized optimal transport, which has strong links to the Schrödinger bridge problem in statistical mechanics, enjoys a variety of applications from trajectory inference…
Quantum Optimal Control for Coherent Spin Dynamics of Radical Pairs via Pontryagin Maximum Principle
Ugur G. Abdulla, Jose H. Rodrigues, Jean-Jacques Slotine
This paper aims to devise the shape of the external electromagnetic field that drives the spin dynamics of radical pairs to a quantum coherent state through maximization of the tri…
Contraction Dynamics in Heterogeneous Spatial Environments
Carlos Barajas, Jean-Jacques Slotine, Domitilla Del Vecchio
Understanding the asymptotic behavior of reaction-diffusion (RD) systems is crucial for modeling processes ranging from species coexistence in ecology to biochemical interactions w…
Combining Movement Primitives with Contraction Theory
Moses C. Nah, Johannes Lachner, Neville Hogan +1
This paper presents a modular framework for motion planning using movement primitives. Central to the approach is Contraction Theory, a modular stability tool for nonlinear dynamic…
Quaternion Sliding Variables in Manipulator Control
Brett T. Lopez, Jean-Jacques Slotine
We present two quaternion-based sliding variables for controlling the orientation of a manipulator's end-effector. Both sliding variables are free of singularities and represent gl…
On computing quantum waves exactly from classical and relativistic action
Winfried Lohmiller, Jean-Jacques Slotine
We show that the Schrödinger equation can be solved exactly based only on classical least action. Fundamental postulates of quantum mechanics can in turn be derived directly from t…
Passive Obstacle Aware Control to Follow Desired Velocities
Lukas Huber, Thibaud Trinca, Jean-Jacques Slotine +1
Evaluating and updating the obstacle avoidance velocity for an autonomous robot in real-time ensures robustness against noise and disturbances. A passive damping controller can obt…
Constrained Least Action and Quantum Mechanics
Winfried Lohmiller, Jean-Jacques Slotine
Recent work shows that the Schroedinger equation can be solved exactly based only on classical least action. The computation is based on solving a HamiltonJacobi equation for the a…
Dynamic Adaptation Gains for Nonlinear Systems with Unmatched Uncertainties
Brett T. Lopez, Jean-Jacques Slotine
We present a new direct adaptive control approach for nonlinear systems with unmatched and matched uncertainties. The method relies on adjusting the adaptation gains of individual…
Stable Modular Control via Contraction Theory for Reinforcement Learning
Bing Song, Jean-Jacques Slotine, Quang-Cuong Pham
We propose a novel way to integrate control techniques with reinforcement learning (RL) for stability, robustness, and generalization: leveraging contraction theory to realize modu…
Neuron-Astrocyte Associative Memory
Leo Kozachkov, Jean-Jacques Slotine, Dmitry Krotov
Astrocytes, the most abundant type of glial cell, play a fundamental role in memory. Despite most hippocampal synapses being contacted by an astrocyte, there are no current theorie…
Contraction Properties of the Global Workspace Primitive
Michaela Ennis, Leo Kozachkov, Jean-Jacques Slotine
To push forward the important emerging research field surrounding multi-area recurrent neural networks (RNNs), we expand theoretically and empirically on the provably stable RNNs o…
-Contraction in a Generalized Lurie System
Ron Ofir, Jean-Jacques Slotine, Michael Margaliot
We derive a sufficient condition for -contraction in a generalized Lurie system~(GLS), that is, the feedback connection of a nonlinear dynamical system and a memoryless nonlinea…
A Contraction Theory Approach to Stochastic Incremental Stability
Q. -C. Pham, N. Tabareau, J. -J. Slotine
We investigate the incremental stability properties of Itô stochastic dynamical systems. Specifically, we derive a stochastic version of nonlinear contraction theory that provides…