Showing papers from Bosch Center for Artificial Intelligence Show all papers
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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SMOG proposes a scalable multi-output Gaussian process meta-learning model that learns objective correlations to accelerate multi-objective Bayesian optimization with linear meta-task scaling.
Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Post-hoc confidence remasking in masked diffusion language models offers little benefit under standard decoding and worsens diversity collapse under stochastic sampling, showing setting-dependent gains.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Depth-recurrent attention mixtures (Dreamer) combine sequence, depth, and sparse expert attention to scale latent reasoning efficiently, requiring 2, 8x fewer training tokens than matched baselines while improving expert diversity.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face
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