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36 | 36 | </tr>
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37 | 37 | <tr>
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38 | 38 | <td class="talk-table">11:00 </td>
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39 |
| - <td class="talk-table"><div class="talk-title">Optimizing over trained neural networks with MathOptAI.jl</div></td> |
| 39 | + <td class="talk-table"><div class="talk-title">Optimizing over trained neural networks with MathOptAI.jl</div><div class="talk-speaker">TBC</div></td> |
40 | 40 | <td class="talk-table"><div class="talk-title">GPU Implementation of Algorithm NCL</div><div class="talk-speaker">Michael Saunders</div></td>
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41 | 41 | </tr>
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42 | 42 | <tr>
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127 | 127 | <tr>
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128 | 128 | <td class="talk-table">15:30 </td>
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129 | 129 | <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>
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130 |
| - <td class="talk-table"><div class="talk-title">The life and times of SDDP.jl</div><div class="talk-speaker">Oscar Dowson</div></td> |
| 130 | + <td class="talk-table"><div class="talk-title">TIMES2JuMP - Learnings from IEA-ETSAP feasibility study of migrating the TIMES code to Julia JuMP.</div><div class="talk-speaker">James Glynn</div></td> |
131 | 131 | </tr>
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132 | 132 | <tr>
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133 | 133 | <td class="talk-table">15:45 </td>
|
134 | 134 | <td class="talk-table"></td>
|
135 |
| - <td class="talk-table"></td> |
| 135 | + <td class="talk-table"><div class="talk-title">The life and times of SDDP.jl</div><div class="talk-speaker">Oscar Dowson</div></td> |
136 | 136 | </tr>
|
137 | 137 | <tr>
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138 | 138 | <td class="talk-table">16:00 </td>
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139 | 139 | <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>
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140 |
| - <td class="talk-table talk-organization"><div class="talk-title">Wrap up and thanks</div></td> |
| 140 | + <td class="talk-table"></td> |
141 | 141 | </tr>
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142 | 142 | <tr>
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143 | 143 | <td class="talk-table">16:15 </td>
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144 | 144 | <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>
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145 |
| - <td class="talk-table talk-organization"></td> |
| 145 | + <td class="talk-table talk-organization"><div class="talk-title">Wrap up and thanks</div></td> |
146 | 146 | </tr>
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147 | 147 | <tr>
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148 | 148 | <td class="talk-table">16:30 </td>
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