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Workshop
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Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference
Matthias Pirlet · Adrien Bolland · Gilles Louppe · Damien Ernst
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Workshop
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AdaEDL: Early Draft Stopping for Speculative Decoding of Large Language Models via an Entropy-based Lower Bound on Token Acceptance Probability
Sudhanshu Agrawal · Wonseok Jeon · Mingu Lee
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Poster
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Thu 16:30
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Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Daniela de Albuquerque · John Pearson
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Poster
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Fri 16:30
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Model Based Inference of Synaptic Plasticity Rules
Yash Mehta · Danil Tyulmankov · Adithya Rajagopalan · Glenn Turner · James Fitzgerald · Jan Funke
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Workshop
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Incentivizing Exploration With Causal Curiosity as Intrinsic Motivation
Elias DURAND · Mehdi Khamassi
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Poster
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Wed 16:30
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Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
Sam Griesemer · Defu Cao · Zijun Cui · Carolina Osorio · Yan Liu
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Poster
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Fri 11:00
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Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
Chao Chen · Yu-Shen Liu · Zhizhong Han
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Workshop
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Video-Driven Graph Network-Based Simulators
Franciszek Szewczyk · Gilles Louppe · Matthia Sabatelli
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Workshop
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Towards Humanoid: Value-Driven Agent Modeling Based on Large Language Models
Xuzheng Chen · Zhangshiyin · Guojie Song
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Workshop
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Can we pre-train ICL-based SFMs for the zero-shot inference of the 1D CDR problem with noisy data?
Mingu Kang · Dongseok Lee · Woojin Cho · Kookjin Lee · Anthony Gruber · Nathaniel Trask · Youngjoon Hong · Noseong Park
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Workshop
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CompassDock: A Comprehensive Accurate Assessment Approach for Deep Learning-Based Molecular Docking in Inference and Fine-Tuning
Ahmet Sarigun · Vedran Franke · Bora Uyar · Altuna Akalin
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Workshop
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Sat 15:45
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LLMs for Causal Inference
Jonathan Choi
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