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Workshop
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Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
Sagar Srinivas Sakhinana · Venkataramana Runkana
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Workshop
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Improved Black-box Variational Inference for High-dimensional Bayesian Inversion involving Black-box Simulators
Dhruv Patel · Jonghyun Lee · Matthew Farthing · Tyler Hesser · Peter Kitanidis · Eric Darve
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Workshop
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Guiding diffusion models for antibody sequence and structure co-design with developability properties
Amelia Villegas-Morcillo · Jana M. Weber · Marcel Reinders
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Workshop
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Developing A Conceptual Framework for Analyzing People in Unstructured Data
Mark Díaz · Sunipa Dev · Emily Reif · Remi Denton · Vinodkumar Prabhakaran
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Workshop
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ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development
Benjamin Cappell · Andreas Stoll · Chukwudi Umah · Bernhard Egger
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Workshop
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Towards Effective Synthetic Data Sampling for Domain Adaptive Pose Estimation
Isha Dua · Arjun Sharma · Shuaib Ahmed · Rahul Tallamraju
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Workshop
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Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sagar Srinivas Sakhinana · Sannidhi G N K Geethan · Venkataramana Runkana
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Affinity Workshop
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Mon 13:30
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Survival models for risk stratification for patients with atrial fibrillation: development and validation using population data from a Canadian province
Lisa Y.W. Tang
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Affinity Workshop
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Mon 13:30
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Development of a TinyML Framework for Crop Disease Classification Tasks on Resource-constrained Embedded Devices
Rehema Mwawado
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Affinity Workshop
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Mon 13:30
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Effective ADR Prediction in Drug Development
Danika Gupta
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Workshop
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Fri 12:50
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#34: Probing the Moral Development of Large Language Models through Defining Issues Test
Kumar Tanmay · Aditi Khandelwal · Utkarsh Agarwal · Monojit Choudhury
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Workshop
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Sat 9:25
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Hierarchy of the echo state property in quantum reservoir computing
Shumpei Kobayashi · Hoan Tran Quoc · Kohei Nakajima
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