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Workshop
Bayesian Optimal Experimental Design of Streaming Data Incorporating Machine Learning Generated Synthetic Data
Kentaro Hoffman · Tyler H. McCormick
Workshop
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Jonas Hübotter · Sascha Bongni · Ido Hakimi · Andreas Krause
Poster
Fri 16:30 Activation Map Compression through Tensor Decomposition for Deep Learning
Le-Trung Nguyen · Aël Quélennec · Enzo Tartaglione · Samuel Tardieu · Van-Tam Nguyen
Workshop
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
Workshop
Meta-Learned Bayesian Optimization for Energy Yield in Inertial Confinement Fusion
Vineet Gundecha · Ricardo Luna Gutierrez · Sahand Ghorbanpour · Rahman Ejaz · Avisek Naug · Soumyendu Sarkar
Workshop
Dataset Distillation for Audio Classification: A Data-Efficient Alternative to Active Learning
Gautham Krishna Gudur · Edison Thomaz
Workshop
Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction
Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow
Poster
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
Workshop
Sim2Real transfer for catalyst activity prediction
YUTA YAHAGI · Kiichi Obuchi · Fumihiko Kosaka · Kota Matsui
Workshop
GLEAM-AI: Neural Surrogate for Accelerated Epidemic Analytics and Forecasting
Mohammadmehdi Zahedi · Dongxia Wu · Jessica Davis · Yian Ma · Alessandro Vespignani · Rose Yu · Matteo Chinazzi
Workshop
Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction
Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow
Workshop
Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction
Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow