Add talks for JuLS and graph transformers (#178)

Author: odow

_includes/jump-dev-2025-schedule.html

@@ -17,7 +17,7 @@
 <tr>
   <td class="talk-table">10:00&nbsp;</td>
   <td class="talk-table"><div class="talk-title">The state of JuMP</div><div class="talk-speaker">Miles Lubin</div></td>
-  <td class="talk-table"><div class="talk-title">Optimizing over trained neural networks with MathOptAI.jl</div><div class="talk-speaker">Robby Parker</div></td>
+  <td class="talk-table"><div class="talk-title">Large Scale JuMP Models with Constraint Generators</div><div class="talk-speaker">Benoît Legat</div></td>
 </tr>
 <tr>
   <td class="talk-table">10:15&nbsp;</td>
@@ -27,17 +27,17 @@
 <tr>
   <td class="talk-table">10:30&nbsp;</td>
   <td class="talk-table"><div class="talk-title">JuMP on demand: Creating your own compute cluster for solving optimisation problems</div><div class="talk-speaker">James Foster</div></td>
-  <td class="talk-table"><div class="talk-title">ApplicationDrivenLearning.jl a framework to train forecast models with application-driven cost functions</div><div class="talk-speaker">Joaquim Dias Garcia</div></td>
+  <td class="talk-table"><div class="talk-title">Automatic Generation of JuMP.jl Constraints from ModelingToolkit.jl Models</div><div class="talk-speaker">Dimitri Alston</div></td>
 </tr>
 <tr>
   <td class="talk-table">10:45&nbsp;</td>
   <td class="talk-table"><div class="talk-title">AdaptiveProjection.jl: Automating the Speed-Accuracy Trade-off in Random Projection Methods</div><div class="talk-speaker">Jean-François Baffier</div></td>
-  <td class="talk-table"><div class="talk-title">MadIPM.jl</div><div class="talk-speaker">Alexis Montoison</div></td>
+  <td class="talk-table"></td>
 </tr>
 <tr>
   <td class="talk-table">11:00&nbsp;</td>
   <td class="talk-table"><div class="talk-title">What's new in HiGHS, and thanks to JuMP for its support!</div><div class="talk-speaker">Julian Hall</div></td>
-  <td class="talk-table"><div class="talk-title">GPU Implementation of Algorithm NCL</div><div class="talk-speaker">Michael Saunders</div></td>
+  <td class="talk-table"><div class="talk-title">CuClarabel: GPU Acceleration for a Conic Optimization Solver</div><div class="talk-speaker">Yuwen Chen</div></td>
 </tr>
 <tr>
   <td class="talk-table">11:15&nbsp;</td>
@@ -47,22 +47,22 @@
 <tr>
   <td class="talk-table">11:30&nbsp;</td>
   <td class="talk-table"><div class="talk-title">Revisiting sparse matrix coloring and bicoloring</div><div class="talk-speaker">Alexis Montoison</div></td>
-  <td class="talk-table"><div class="talk-title">CuClarabel: GPU Acceleration for a Conic Optimization Solver</div><div class="talk-speaker">Yuwen Chen</div></td>
+  <td class="talk-table"><div class="talk-title">MadIPM.jl</div><div class="talk-speaker">Alexis Montoison</div></td>
 </tr>
 <tr>
   <td class="talk-table">11:45&nbsp;</td>
   <td class="talk-table"></td>
-  <td class="talk-table"></td>
+  <td class="talk-table"><div class="talk-title">GPU Implementation of Algorithm NCL</div><div class="talk-speaker">Michael Saunders</div></td>
 </tr>
 <tr>
   <td class="talk-table">12:00&nbsp;</td>
   <td class="talk-table talk-break"><div class="talk-title">Lunch</div></td>
-  <td class="talk-table talk-break"><div class="talk-title">Lunch</div></td>
+  <td class="talk-table"></td>
 </tr>
 <tr>
   <td class="talk-table">12:15&nbsp;</td>
   <td class="talk-table talk-break"></td>
-  <td class="talk-table talk-break"></td>
+  <td class="talk-table talk-break"><div class="talk-title">Lunch</div></td>
 </tr>
 <tr>
   <td class="talk-table">12:30&nbsp;</td>
@@ -96,18 +96,18 @@
 </tr>
 <tr>
   <td class="talk-table">14:00&nbsp;</td>
-  <td class="talk-table"><div class="talk-title">Automatic Generation of JuMP.jl Constraints from ModelingToolkit.jl Models</div><div class="talk-speaker">Dimitri Alston</div></td>
   <td class="talk-table"><div class="talk-title">Bridging the Gap Between Models and Solvers through Constraint Programming</div><div class="talk-speaker">Jean-François Baffier</div></td>
+  <td class="talk-table talk-break"></td>
 </tr>
 <tr>
   <td class="talk-table">14:15&nbsp;</td>
   <td class="talk-table"></td>
-  <td class="talk-table"></td>
+  <td class="talk-table"><div class="talk-title">ApplicationDrivenLearning.jl a framework to train forecast models with application-driven cost functions</div><div class="talk-speaker">Joaquim Dias Garcia</div></td>
 </tr>
 <tr>
   <td class="talk-table">14:30&nbsp;</td>
-  <td class="talk-table"><div class="talk-title">Large Scale JuMP Models with Constraint Generators</div><div class="talk-speaker">Benoît Legat</div></td>
   <td class="talk-table"><div class="talk-title">Unlocking the Power of Google OR-Tools with MathOptInterface.jl</div><div class="talk-speaker">Thibaut Cuvelier</div></td>
+  <td class="talk-table"><div class="talk-title">Optimizing over trained neural networks with MathOptAI.jl</div><div class="talk-speaker">Robby Parker</div></td>
 </tr>
 <tr>
   <td class="talk-table">14:45&nbsp;</td>
@@ -116,13 +116,13 @@
 </tr>
 <tr>
   <td class="talk-table">15:00&nbsp;</td>
-  <td class="talk-table talk-break"><div class="talk-title">Break</div></td>
-  <td class="talk-table talk-break"><div class="talk-title">Break</div></td>
+  <td class="talk-table"><div class="talk-title">JuLS</div><div class="talk-speaker">Axel Navarro</div></td>
+  <td class="talk-table"><div class="talk-title">Optimization Problem Surrogates with Graph Transformer Networks and integration within simulation workflows</div><div class="talk-speaker">Jose Daniel Lara</div></td>
 </tr>
 <tr>
   <td class="talk-table">15:15&nbsp;</td>
-  <td class="talk-table talk-break"></td>
-  <td class="talk-table talk-break"></td>
+  <td class="talk-table"></td>
+  <td class="talk-table"></td>
 </tr>
 <tr>
   <td class="talk-table">15:30&nbsp;</td>

_posts/2024-09-26-jump_dev_2025.md

@@ -49,8 +49,7 @@ excursion. The schedule is subject to change at any time.
 
 ### Talk schedule
 
-A preliminary schedule is as follows. Some accepted talks are not yet scheduled
-because of uncertainty around the speaker's travel.
+A preliminary schedule is as follows.
 
 {%include jump-dev-2025-schedule.html %}
 

assets/jump-dev-workshops/2025/schedule.toml

@@ -64,23 +64,22 @@ type = "break"
 type = "break"
 
 [talks.1_14_00]
-speaker = "Dimitri Alston"
-title = "Automatic Generation of JuMP.jl Constraints from ModelingToolkit.jl Models"
+speaker = "Jean-François Baffier"
+title = "Bridging the Gap Between Models and Solvers through Constraint Programming"
 
 [talks.1_14_15]
 
 [talks.1_14_30]
-speaker = "Benoît Legat"
-title = "Large Scale JuMP Models with Constraint Generators"
+speaker = "Thibaut Cuvelier"
+title = "Unlocking the Power of Google OR-Tools with MathOptInterface.jl"
 
 [talks.1_14_45]
 
 [talks.1_15_00]
-title = "Break"
-type = "break"
+speaker = "Axel Navarro"
+title = "JuLS"
 
 [talks.1_15_15]
-type = "break"
 
 [talks.1_15_30]
 speaker = "Joshua Pulsipher"
@@ -110,36 +109,35 @@ type = "organization"
 type = "organization"
 
 [talks.2_10_00]
-speaker = "Robby Parker"
-title = "Optimizing over trained neural networks with MathOptAI.jl"
+speaker = "Benoît Legat"
+title = "Large Scale JuMP Models with Constraint Generators"
 
 [talks.2_10_15]
 
 [talks.2_10_30]
-speaker = "Joaquim Dias Garcia"
-title = "ApplicationDrivenLearning.jl a framework to train forecast models with application-driven cost functions"
+speaker = "Dimitri Alston"
+title = "Automatic Generation of JuMP.jl Constraints from ModelingToolkit.jl Models"
 
 [talks.2_10_45]
-speaker = "Alexis Montoison"
-title = "MadIPM.jl"
 
 [talks.2_11_00]
-speaker = "Michael Saunders"
-title = "GPU Implementation of Algorithm NCL"
+speaker = "Yuwen Chen"
+title = "CuClarabel: GPU Acceleration for a Conic Optimization Solver"
 
 [talks.2_11_15]
 
 [talks.2_11_30]
-speaker = "Yuwen Chen"
-title = "CuClarabel: GPU Acceleration for a Conic Optimization Solver"
+speaker = "Alexis Montoison"
+title = "MadIPM.jl"
 
 [talks.2_11_45]
+speaker = "Michael Saunders"
+title = "GPU Implementation of Algorithm NCL"
 
 [talks.2_12_00]
-title = "Lunch"
-type = "break"
 
 [talks.2_12_15]
+title = "Lunch"
 type = "break"
 
 [talks.2_12_30]
@@ -161,23 +159,23 @@ type = "break"
 type = "break"
 
 [talks.2_14_00]
-speaker = "Jean-François Baffier"
-title = "Bridging the Gap Between Models and Solvers through Constraint Programming"
+type = "break"
 
 [talks.2_14_15]
+speaker = "Joaquim Dias Garcia"
+title = "ApplicationDrivenLearning.jl a framework to train forecast models with application-driven cost functions"
 
 [talks.2_14_30]
-speaker = "Thibaut Cuvelier"
-title = "Unlocking the Power of Google OR-Tools with MathOptInterface.jl"
+speaker = "Robby Parker"
+title = "Optimizing over trained neural networks with MathOptAI.jl"
 
 [talks.2_14_45]
 
 [talks.2_15_00]
-title = "Break"
-type = "break"
+speaker = "Jose Daniel Lara"
+title = "Optimization Problem Surrogates with Graph Transformer Networks and integration within simulation workflows"
 
 [talks.2_15_15]
-type = "break"
 
 [talks.2_15_30]
 speaker = "Joaquim Dias Garcia"