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shawnrhoads committed Sep 6, 2024
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Expand Up @@ -312,8 +312,8 @@ <h2>Tentative Schedule</h2>
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<td>09:00 AM</td>
<td><strong>OPENING REMARKS + KEYNOTE</strong><br>Xiaosi Gu<br>Introduction</td>
<td><strong>KEYNOTE</strong><br>Laura Berner<br>Clinical computational interpretability</td>
<td><strong>TUTORIAL 5</strong><br>Baihan Lin<br>LLMs for psychiatry</td>
<td><strong>KEYNOTE</strong><br>Laura Berner<br>Clinical Computational Interpretability</td>
<td><strong>TUTORIAL 5</strong><br>Baihan Lin<br>LLMs for Psychiatry</td>
</tr>
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<td></td>
Expand All @@ -324,8 +324,8 @@ <h2>Tentative Schedule</h2>
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<td>10:00 AM</td>
<td><strong>TUTORIAL 1</strong><br>Angela Radulescu<br>Reinforcement learning</td>
<td><strong>TUTORIAL 3</strong><br>Shawn Rhoads<br>Model fitting, individual differences</td>
<td><strong>TUTORIAL 6</strong><br>Alisa Loosen<br>Study design & replicability</td>
<td><strong>TUTORIAL 3</strong><br>Shawn Rhoads<br>Introduction to Model Fitting</td>
<td><strong>TUTORIAL 6</strong><br>Alisa Loosen<br>Study Design & Replicability</td>
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<td></td>
Expand Down Expand Up @@ -360,7 +360,7 @@ <h2>Tentative Schedule</h2>
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<td>01:00 PM</td>
<td><strong>TUTORIAL 2</strong><br>Vincenzo Fiore<br>Bayesian Inference</td>
<td><strong>TUTORIAL 4</strong><br>Blair Shevlin<br>Drift diffusion modeling</td>
<td><strong>TUTORIAL 4</strong><br>Blair Shevlin<br>Drift Diffusion Modeling</td>
<td><strong>BREAKOUT PROJECTS</strong></td>
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