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Workshop
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Stochastic Gradient MCMC for Gaussian Process Inference on Massive Geostatistical Data
Mohamed Abba · Brian Reich · Reetam Majumder · Brandon Feng
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Workshop
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Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response
Leiv Rønneberg · Vidhi Lalchand
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Workshop
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Scalable and interpretable quantum natural language processing: an implementation on trapped ions
Tiffany Duneau · Saskia Bruhn · Gabriel Matos · Tuomas Laakkonen · Katerina Saiti · Anna Pearson · Konstantinos Meichanetzidis · Bob Coecke
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Workshop
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Towards Scalable Compression with Universally Quantized Diffusion Models
Yibo Yang · Justus C. Will · Stephan Mandt
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Workshop
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Measuring AI Agent Autonomy: Towards a Scalable Approach With Code Inspection
Merlin Stein · Peter Cihon · Gagan Bansal · Sam Manning
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Workshop
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Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Somnath Basu Roy Chowdhury · Krzysztof M Choromanski · Arijit Sehanobish · Kumar Avinava Dubey · Snigdha Chaturvedi
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Workshop
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Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
Emily Zhixuan Zeng · Yuhao Chen · Alexander Wong
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