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Showing papers from Department of Computer Science, University of Massachusetts at Amherst Show all papers

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NeurIPS 2026U Massachusetts AmherstU Massachusetts at AmherstDepartment of Computer Science, AI oversight & deception

Latent Barrier Steering: Hierarchical Safety for Generative Planning

Renhao Zhang, Mingzhe Li, Bruno Silva

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U Massachusetts AmherstDepartment of Computer Science, Deep RL

Uncertainty-Guided Reward Labeling for Reinforcement Learning under Limited Feedback

Renhao Zhang, Shreyas Chaudhari, Bruno Silva

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U Massachusetts AmherstDepartment of Computer Science, Google DeepMindU Massachusetts, AmherstLLM evaluation & benchmarks

Evaluating Compositional Generalization in Transformers: The Role of Composition Equivalence and Module Coverage

Purva Pruthi, Andrew Yuan, Alexander D'Amour, David Jensen

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U Massachusetts AmherstU Massachusetts at AmherstDepartment of Computer Science, Bayesian & probabilistic methods

Bayesian Optimization on Function Spaces via Sparse RKHS Manifolds

Davide Sartor, Meghan E Huber, Donghyun Kim, Nathan Wycoff

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Department of Computer Science, U Massachusetts at AmherstNavigation & SLAM

Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching

A learned pushforward framework uses conditional flow matching to transport analytically ergodic latent trajectories onto target densities, yielding certified O(1/sqrt(K)) convergence with multi-agent reuse and constraint penalties.

Ehsan Aghazadeh, Masoud Malekzadeh, Ahmad Ghasemi, Hossein Pishro-Nik

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5