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add poster instructions
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_pages/call.md

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@@ -38,6 +38,13 @@ Please submit abstracts (200 words or fewer) in the submission form.
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Abstract submission is currently closed.
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## Poster Details
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We recommend the poster does not exceed the size of 44x44 inches, anything larger may be difficult to accommodate. If you need poster printing at Stanford, please refer to the [Tech Desk](https://thehub.stanford.edu/services/print-poster). All costs related to the poster printing are to be borne by the presenter.
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The poster boards will be on the ground floor of the Huang building.
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## Registration Details
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Attendance in the workshop requires a registration which is free of charge. Please register seperately even if you have submitted an abstract.

_pages/schedule.md

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**Title:** Generative Methods for Protein Design: Recent Progress and Open Problems
2020

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**09:15 - 10:00** — Invited talk<br>
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**Speaker:** Ashia Wilson
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**Speaker:** Ashia Wilson<br>
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**Title:** Two Approaches Towards Adaptive Optimization
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**10:00 - 10:30** — Coffee break
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**13:00 - 13:40** — Accepted lightning talks
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<details>
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<summary>Lightning Talk Details</summary>
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<summary>Lightning talks details</summary>
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13:00 - 13:10 Preferential Multi-Objective Bayesian Optimization for Drug Discovery by Tai Dang<br>
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13:10 - 13:20 Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization by Dongxia Wu<br>
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13:20 - 13:30 Diffusion Preference Optimization for Scientific Design by Minkai Xu<br>
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**15:30 - 16:00** — Coffee break
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**16:00 - 17:00** — Accepted lightning talks
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<details>
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<summary>Lightning talks details</summary>
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16:00 - 16:10 An AI Agent for Designing Genetic Perturbation Experiments by Yusuf Roohani<br>
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16:10 - 16:20 A Scalable Gene Network Model for Functional Insights into Single-Cell Dynamics by Paul Bertin<br>
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16:20 - 16:30 Model guided optimization of stem cell differentiation into adaptive immune cells for clinical therapies by John Edgar<br>
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16:30 - 16:40 The Importance of Implicit Semantic Context when Classifying Rare Phenomena in Large Scientific Imagery by Ellianna Abrahams<br>
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16:40 - 16:50 PerTurboAgent: A self-planning agent for boosting sequential perturb-seq experiment by Yongju Lee<br>
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16:50 - 17:00 Preference-Guided Diffusion for Multi-Objective Offline Optimization by Yashas Annadani
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</details>
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**17:00 - 18:00** — Poster Session
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**18:00** — Workshop Dinner
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**14:30 - 15:00** — Coffee break
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**15:00 - 16:00** — Accepted lightning talks
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<details>
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<summary>Lightning talks details</summary>
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15:00 - 15:10 Improving Off-Policy Evaluation with LLM-Generated Counterfactual Annotations by Aishwarya Mandyam<br>
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15:10 - 15:20 Principled Collaborative Bayesian Optimization with LLM Guidance by Edward De Brouwer<br>
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15:20 - 15:30 Diversity-based selection for best policy identification in contextual bandit settings by Hyunji (Alex) Nam<br>
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15:30 - 15:40 Practical Bayesian Algorithm Execution via Posterior Sampling by Raul Astudillo<br>
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15:40 - 15:50 Gradient Oriented Active Learning for Candidate Drug Design by Venkatesh Medabalimi<br>
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15:50 - 16:00 Aligning Protein Language Models with Continuous Feedback using Energy Rank Alignment by Sebastian Ibarraran
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</details>
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**16:00 - 17:00** — Unstructured networking and discussion

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