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144 Results
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Workshop
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Bayesian Optimal Experimental Design of Streaming Data Incorporating Machine Learning Generated Synthetic Data Kentaro Hoffman · Tyler H. McCormick |
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Workshop
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Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter · Sascha Bongni · Ido Hakimi · Andreas Krause |
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Poster
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Fri 16:30 |
Activation Map Compression through Tensor Decomposition for Deep Learning Le-Trung Nguyen · Aël Quélennec · Enzo Tartaglione · Samuel Tardieu · Van-Tam Nguyen |
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Workshop
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Population Transformer: Learning Population-level Representations of Intracranial Activity Geeling Chau · Christopher Wang · Sabera Talukder · Vighnesh Subramaniam · Saraswati Soedarmadji · Yisong Yue · Boris Katz · Andrei Barbu |
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Workshop
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Meta-Learned Bayesian Optimization for Energy Yield in Inertial Confinement Fusion Vineet Gundecha · Ricardo Luna Gutierrez · Sahand Ghorbanpour · Rahman Ejaz · Avisek Naug · Soumyendu Sarkar |
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Workshop
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Dataset Distillation for Audio Classification: A Data-Efficient Alternative to Active Learning Gautham Krishna Gudur · Edison Thomaz |
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Workshop
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Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow |
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Poster
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Fri 11:00 |
Transition Constrained Bayesian Optimization via Markov Decision Processes Jose Pablo Folch · Calvin Tsay · Robert Lee · Behrang Shafei · Weronika Ormaniec · Andreas Krause · Mark van der Wilk · Ruth Misener · Mojmir Mutny |
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Workshop
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Sim2Real transfer for catalyst activity prediction YUTA YAHAGI · Kiichi Obuchi · Fumihiko Kosaka · Kota Matsui |
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Workshop
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GLEAM-AI: Neural Surrogate for Accelerated Epidemic Analytics and Forecasting Mohammadmehdi Zahedi · Dongxia Wu · Jessica Davis · Yian Ma · Alessandro Vespignani · Rose Yu · Matteo Chinazzi |
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Workshop
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Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow |
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Workshop
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Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow |