From 120d21f1303ef71d16c6f7a56939957ae6b34245 Mon Sep 17 00:00:00 2001
From: Woodpecker CI <git@polarolouis.fr>
Date: Mon, 11 May 2026 12:05:31 +0000
Subject: [PATCH] Deploy site  [CI SKIP]

---
 index.html                        | 62 +++++++++++++++----------------
 knowledge_base/projets-phylo.html | 13 ++++++-
 search.json                       | 14 +++++++
 3 files changed, 57 insertions(+), 32 deletions(-)

diff --git a/index.html b/index.html
index 305077d..33adf35 100644
--- a/index.html
+++ b/index.html
@@ -293,7 +293,7 @@ Agenda
 <h2 data-number="1" class="anchored" data-anchor-id="base-de-connaissances-et-trucs-en-vrac"><span class="header-section-number">1</span> Base de connaissances et trucs en vrac</h2>
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 <div class="thumbnail"><a href="./knowledge_base/colsbm_application_reseaux_et_agri.html" class="no-external">
 
 <div class="listing-item-img-placeholder card-img-top" >&nbsp;</div>
@@ -333,7 +333,7 @@ Louis Lacoste
 </a>
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 <div class="thumbnail"><a href="./knowledge_base/vae_wasserstein_gromov.html" class="no-external">
 
 <div class="listing-item-img-placeholder card-img-top" >&nbsp;</div>
@@ -369,7 +369,7 @@ Louis Lacoste
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 <div class="listing-item-img-placeholder card-img-top" >&nbsp;</div>
@@ -413,7 +413,7 @@ Louis Lacoste
 <h2 data-number="2" class="anchored" data-anchor-id="journaux"><span class="header-section-number">2</span> Journaux</h2>
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 <p class="card-img-top"><img src="suivi/2026-12/figs/Multipartite.svg" alt="Le plot des groupes trouvés par le multipartite (2 pour tous les OTUs et 4 pour les échantillons.)"  class="thumbnail-image card-img"/></p>
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 <div class="thumbnail"><a href="./suivi/2025-51/2025-51.html" class="no-external">
 
 <p class="card-img-top"><img data-src="suivi/2025-51/figs/tendance_temps.png"  class="thumbnail-image card-img"/></p>
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 <p class="card-img-top"><img data-src="suivi/2025-33/figs/auc-model.png"  class="thumbnail-image card-img"/></p>
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 <p class="card-img-top"><img data-src="suivi/2025-24/figs/ari-clustering-desc&asc9.png" alt="9 réseaux - ARI pour le clustering avec modèles iid, procédure descendante et descendante&ascendante"  class="thumbnail-image card-img"/></p>
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diff --git a/knowledge_base/projets-phylo.html b/knowledge_base/projets-phylo.html
index c79d98b..5eef2cc 100644
--- a/knowledge_base/projets-phylo.html
+++ b/knowledge_base/projets-phylo.html
@@ -182,7 +182,11 @@ window.Quarto = {
   <li><a href="#formalisation-du-modèle-1" id="toc-formalisation-du-modèle-1" class="nav-link" data-scroll-target="#formalisation-du-modèle-1"><span class="header-section-number">4.1</span> Formalisation du modèle</a></li>
   </ul></li>
   <li><a href="#échantillonnage-selon-larbre" id="toc-échantillonnage-selon-larbre" class="nav-link" data-scroll-target="#échantillonnage-selon-larbre"><span class="header-section-number">5</span> Échantillonnage selon l’arbre</a></li>
-  <li><a href="#latent-position-model-lpm-avec-phylogénie-des-représentations-latentes-selon-la-phylogénie" id="toc-latent-position-model-lpm-avec-phylogénie-des-représentations-latentes-selon-la-phylogénie" class="nav-link" data-scroll-target="#latent-position-model-lpm-avec-phylogénie-des-représentations-latentes-selon-la-phylogénie"><span class="header-section-number">6</span> <em>Latent Position Model</em> (LPM) avec phylogénie des représentations latentes selon la phylogénie</a></li>
+  <li><a href="#latent-position-model-lpm-avec-phylogénie-des-représentations-latentes-selon-la-phylogénie" id="toc-latent-position-model-lpm-avec-phylogénie-des-représentations-latentes-selon-la-phylogénie" class="nav-link" data-scroll-target="#latent-position-model-lpm-avec-phylogénie-des-représentations-latentes-selon-la-phylogénie"><span class="header-section-number">6</span> <em>Latent Position Model</em> (LPM) avec phylogénie des représentations latentes selon la phylogénie</a>
+  <ul class="collapse">
+  <li><a href="#classique" id="toc-classique" class="nav-link" data-scroll-target="#classique"><span class="header-section-number">6.1</span> Classique</a></li>
+  <li><a href="#deep-lpm" id="toc-deep-lpm" class="nav-link" data-scroll-target="#deep-lpm"><span class="header-section-number">6.2</span> <em>Deep</em> LPM</a></li>
+  </ul></li>
   </ul>
 </nav>
     </div>
@@ -393,8 +397,15 @@ V \Gamma &amp; \approx \log((\pmb{\pi}^i)_{i=1,\dots,n_1}) = \log(\pmb{\Pi})
 </section>
 <section id="latent-position-model-lpm-avec-phylogénie-des-représentations-latentes-selon-la-phylogénie" class="level1" data-number="6">
 <h1 data-number="6"><span class="header-section-number">6</span> <em>Latent Position Model</em> (LPM) avec phylogénie des représentations latentes selon la phylogénie</h1>
+<section id="classique" class="level2" data-number="6.1">
+<h2 data-number="6.1" class="anchored" data-anchor-id="classique"><span class="header-section-number">6.1</span> Classique</h2>
+</section>
+<section id="deep-lpm" class="level2" data-number="6.2">
+<h2 data-number="6.2" class="anchored" data-anchor-id="deep-lpm"><span class="header-section-number">6.2</span> <em>Deep</em> LPM</h2>
+<p>Possibilité d’utilisé un encodeur qui soit un réseau de neurones et de bénéficier de tous les décodeurs de la littérature LPM. <strong>Quel est le lien avec le VGAE ?</strong> <strong>Avantage de passage à l’échelle??</strong></p>
 
 
+</section>
 </section>
 
 </main> <!-- /main -->
diff --git a/search.json b/search.json
index a6bb708..036c20d 100644
--- a/search.json
+++ b/search.json
@@ -69,6 +69,20 @@
     "section": "4.1 Formalisation du modèle",
     "text": "4.1 Formalisation du modèle\nPierre a proposé que l’on pose une structure latente sur les \\pmb{Z}. C’est à dire \\begin{align*}\n     & P \\sim \\mathcal{N}_{n_1, K-1} (O_{n_1, K-1}, \\Sigma, \\sigma^2 Id_{K-1}), \\\\\n     \\forall i \\in \\{1,\\dots,n_1\\}, & Z_i \\mid P_i  \\overset{ind}{\\sim} \\mathop{\\mathrm{Cat}}_{K} ({\\mathop{\\mathrm{ilr}}}^{-1}(P_i) = \\pi_{1:K}^{(i)}), \\\\\n     \\forall j \\in \\{1,\\dots,n_2\\}, & W_j \\overset{iid}{\\sim} \\mathop{\\mathrm{Cat}}_R (\\rho_{1:R}),\\\\\n     \\forall i,j \\in \\{1,\\dots,n_1\\}\\times\\{1,\\dots,n_2\\}, & Y_{ij} \\mid Z_i = k, W_j = r \\overset{ind}{\\sim} \\mathcal{F}(\\alpha_{qr}),\n\\end{align*} avec \\Sigma, la matrice de variance-covariance déterminée en fonction de l’apparentement (phylogénétique) des noeuds.\n\n\n\nLe DAG simplifié du modèle"
   },
+  {
+    "objectID": "knowledge_base/projets-phylo.html#classique",
+    "href": "knowledge_base/projets-phylo.html#classique",
+    "title": "Idées autour de l’inclusion de la phylogénie",
+    "section": "6.1 Classique",
+    "text": "6.1 Classique"
+  },
+  {
+    "objectID": "knowledge_base/projets-phylo.html#deep-lpm",
+    "href": "knowledge_base/projets-phylo.html#deep-lpm",
+    "title": "Idées autour de l’inclusion de la phylogénie",
+    "section": "6.2 Deep LPM",
+    "text": "6.2 Deep LPM\nPossibilité d’utilisé un encodeur qui soit un réseau de neurones et de bénéficier de tous les décodeurs de la littérature LPM. Quel est le lien avec le VGAE ? Avantage de passage à l’échelle??"
+  },
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