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Khalid Oublal
PhD student, Computer Science, École Polytechnique
PhD student, Computer Science, Télécom Paris
Joined
November 2021
Names
Khalid Oublal
(Preferred)
,
Koublal
Emails
****@polytechnique.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@ip-paris.fr
(Confirmed)
Personal Links
Homepage
Google Scholar
Career & Education History
PhD student
Computer Science,
École Polytechnique
(polytechnique.edu)
2023
–
2026
PhD student
Computer Science,
Télécom Paris
(telecom-paris.fr)
2023
–
2026
MS student
Computer Science,
École Polytechnique
(polytechnique.edu)
2018
–
2023
MS student
Space Systems and Computer Science,
Ecole Nationale Supérieure de l'Aéronautique et de l'Espace
(supaero.fr)
2022
–
2022
Advisors, Relations & Conflicts
PhD Advisor
François Roueff
Present
PhD Advisor
Saïd Ladjal
Present
PhD Advisor
Jutten Christian
Present
Expertise
Learning disentangled representations
,
Multi-modal learning
,
Time series representations
,
Signals Identifiability
,
Separation Source
2020
–
2026
Optimization
,
Representation Learning
2019
–
2020
Publications
eHabitat : Training Energy Home Assistants to Reduce their Energy Habitat
Khalid Oublal
Submitted to E-SARS
Readers:
Everyone
TimeSAE: Sparse Decoding for Faithful Explanations of Black-Box Time Series Models
Khalid Oublal
,
Quentin Bouniot
,
Qi Gan
,
Stephan Clémençon
,
Zeynep Akata
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
Identifiability Guarantees For Time Series Representation via Contrastive Sparsity-inducing
Khalid Oublal
,
Said Ladjal
,
David Benhaiem
,
Emmanuel LE BORGNE
,
François Roueff
ICLR 2025 Conference Withdrawn Submission
Readers:
Everyone
DISCOV: A Time Series Representations Disentanglement via Contrastive for Non-Intrusive Load Monitoring (NILM)
Khalid Oublal
,
Said Ladjal
,
David Benhaiem
,
Emmanuel LE BORGNE
,
François Roueff
UniReps Poster
Readers:
Everyone
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
Khalid Oublal
,
Said Ladjal
,
David Benhaiem
,
Emmanuel LE BORGNE
,
François Roueff
ICLR 2024 poster
Readers:
Everyone
Temporal Attention Bottleneck is informative? Interpretability through Disentangled Generative Representations for Energy Time Series Disaggregation
Khalid Oublal
,
Said Ladjal
,
David Benhaiem
,
Emmanuel le-borgne
,
François Roueff
DeployableGenerativeAI
Readers:
Everyone
Co-Authors
David Benhaiem
Emmanuel LE BORGNE
Emmanuel le-borgne
François Roueff
Qi Gan
Quentin Bouniot
Said Ladjal
Stephan Clémençon
Zeynep Akata