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Showing papers from State University of New York at Buffalo Show all papers

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NeurIPS 2026State University of New York at U FloridaUniversity at Buffalo-SUNYState University of New York BufDeep learning theory

Elastic Representations via Hyperbolic Geometry

Arjun Ramesh Kaushik, Rudrasis Chakraborty, Nalini Ratha, Venu Govindaraju

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026State University of New York at National Institutes of HealthPOSTECHUniversity at Buffalo, SUNYGraph generation

MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation

Protyay Dey, Ayush Roy, Hyuna Cho, Won Hwa Kim and 1 more

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

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NeurIPS 2026U Massachusetts BostonState University of New York at SPY Lab -- ETH ZurichBeijing Institute of TechnologyKAUSTDeep RL

Differentially Private Sparse Reward Estimation with Preference Feedback

Meng Ding, Mingxi Lei, Jie Zhang, Jinyan Liu and 1 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U Massachusetts AmherstU Massachusetts at AmherstState University of New York at University at BuffaloLearning theory

Intrinsic Riemannian Cross-covariance for Manifold-valued Random Objects

Intrinsic Riemannian cross-covariance defines manifold-valued covariance via parallel transport to a common tangent space, yielding coordinate-independent second-order descriptors with Euclidean-like properties and verified asymptotic behavior.

Carlos Soto, Cheng Wang, Yujing Huang, Xiaoyu Chen

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

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
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NeurIPS 2026Michigan StateState University of New York at University at BuffaloMICHIGAN STATE UNIVERSITYEmbodied agents

Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and Exploration

3DSPMR leverages 3D spatial memory with field-of-view geometric priors to reuse exploration knowledge across sequential embodied tasks, significantly improving reasoning and navigation performance on the SEER-Bench benchmark.

Zhongyi Cai, Yi Du, Chen Wang, Yu Kong

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
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medium 4/10
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