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25 Results
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Workshop
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Brain in the Dark: Design Principles for Neuromimetic Inference under the Free Energy Principle Mehran Hossein Zadeh Bazargani · Szymon Urbas · Karl Friston |
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Workshop
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The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched Speculation Lawrence Stewart · Matthew Trager · Sujan Gonugondla · Stefano Soatto |
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Workshop
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Distributionally Robust Optimisation with Bayesian Ambiguity Sets Harita Dellaporta · Patrick O'Hara · Theodoros Damoulas |
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Workshop
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Multi-Wavelength Analysis of Kilonova Associated with GRB 230307A: Accelerated Parameter Estimation and Model Selection Through Likelihood-Free Inference P. Darc · Clecio Roque Bom · Gabriel Teixeira · Charles Kilpatrick · Nora Sherman · Marcelo Portes de Albuquerque · Paulo Russano |
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Workshop
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A Systematic Evaluation of Decoding-Free Generative Candidate Selection Methods Mingyu Derek Ma · Yanna Ding · Zijie Huang · Jianxi Gao · Yizhou Sun · Wei Wang |
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Poster
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Thu 11:00 |
Learning Distributions on Manifolds with Free-Form Flows Peter Sorrenson · Felix Draxler · Armand Rousselot · Sander Hummerich · Ullrich Köthe |
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Workshop
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Riemannian Black Box Variational Inference Mykola Lukashchuk · Wouter Nuijten · Dmitry Bagaev · Ismail Senoz · Bert de Vries |
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Workshop
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Inverse-Free Sparse Variational Gaussian Processes Stefano Cortinovis · Stefanos Eleftheriadis · Laurence Aitchison · James Hensman · Mark van der Wilk |
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Poster
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Thu 11:00 |
Exponential Quantum Communication Advantage in Distributed Inference and Learning Dar Gilboa · Hagay Michaeli · Daniel Soudry · Jarrod McClean |
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Poster
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Thu 16:30 |
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong |
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Workshop
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Distributed Speculative Inference of Large Language Models is Provably Faster Nadav Timor · Jonathan Mamou · Oren Pereg · Moshe Berchansky · Daniel Korat · Moshe Wasserblat · Tomer Galanti · Michal Gordon (Kiwkowitz) · David Harel |
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Workshop
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Gradient-free variational learning with conditional mixture networks Conor Heins · Hao Wu · Dimitrije Markovic · Alexander Tschantz · Jeff Beck · Christopher L Buckley |