Showing papers from University of Alberta Show all papers
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Deep Double Q-learning trains two independent Q-functions to decouple selection and evaluation, reducing overestimation and outperforming Double DQN across 47 of 57 Atari games.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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HiFloat4 enables stable FP4 LLM pretraining without stabilization stacks, achieving 1.55% relative loss versus 1.79% for MXFP4 and 2.00% for NVFP4 on Ascend NPUs.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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An automated framework generates fine-grained, contamination-robust benchmarks from textbooks that expose model differences missed by existing tests.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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The poster argues parameter symmetries determine representational geometry in overparameterized nonlinear networks.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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This work formalizes nonlinear measure-to-measure regression and introduces two scalable transformer-based approaches for learning operators between probability distributions. The methods generalize to unseen measures in synthetic experiments, particle systems, and a large-scale colorectal cancer or
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sech perturbation kernels make calibration functions analytic, enabling polynomial regression to estimate second-order calibration error at the minimax optimal rate of tilde O(1/sqrt(n)). This yields the first finite-sample guarantee for second-order Platt scaling and a bucket-free calibration defin
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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HiFloat4 enables end-to-end FP4 reinforcement learning by fixing rollout activation underflow with Rollout-ResQ, cutting accuracy gaps to 1.1% versus BF16.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Laplacian Keyboard hierarchically combines Laplacian eigenvectors into a behavior library with a meta-policy, exceeding linear span limits for better zero-shot approximation and sample efficiency.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Neural Bayesian Filtering maintains hidden-state beliefs via learned embeddings and particle-style updates, tracking multimodal distributions efficiently in partially observable environments.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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NextLat adds latent self-prediction to transformers, theoretically converging to belief states and empirically improving world modeling, reasoning, and inference speed.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 196
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