Search Results for author: Max Cohen

Found 7 papers, 2 papers with code

Variational latent discrete representation for time series modelling

no code implementations27 Jun 2023 Max Cohen, Maurice Charbit, Sylvain Le Corff

Discrete latent space models have recently achieved performance on par with their continuous counterparts in deep variational inference.

Management Time Series +1

Modular Adaptive Safety-Critical Control

no code implementations7 Mar 2023 Max Cohen, Calin Belta

We demonstrate that the unification of ISS and ISSf in an adaptive control setting allows for maintaining a single set of parameter estimates for both the CLF and CBF that can be generated by a class of update laws satisfying a few general properties.

Diffusion bridges vector quantized Variational AutoEncoders

1 code implementation10 Feb 2022 Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines

In this work, we propose a new model to train the prior and the encoder/decoder networks simultaneously.


End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort

1 code implementation1 Feb 2021 Max Cohen, Sylvain Le Corff, Maurice Charbit, Marius Preda, Gilles Nozière

Parameters are estimated by comparing the predictions of the metamodel with real data obtained from sensors using the CMA-ES algorithm, a derivative free optimization procedure.

Multiobjective Optimization

Model-Based Reinforcement Learning for Approximate Optimal Control with Temporal Logic Specifications

no code implementations18 Jan 2021 Max Cohen, Calin Belta

In this paper we study the problem of synthesizing optimal control policies for uncertain continuous-time nonlinear systems from syntactically co-safe linear temporal logic (scLTL) formulas.

Model-based Reinforcement Learning reinforcement-learning +1

End-to-end deep metamodeling to calibrate and optimize energy loads

no code implementations19 Jun 2020 Max Cohen, Maurice Charbit, Sylvain Le Corff, Marius Preda, Gilles Nozière

Finally, the optimal settings to minimize the energy loads while maintaining a target thermal comfort and air quality are obtained using a multi-objective optimization procedure.


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