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Showing papers from Vanderbilt University Show all papers

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Embedding Security Properties into AI-Enabled Cyber-Physical Systems

Ziyan An, John Stankovic, Meiyi Ma

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Cognitive bias benchmarks should incorporate insights from ecological rationality

David Thorstad

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

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57%Worth a look
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Magnetic Resonance Unpaired Image Translation with Pseudometric Schrödinger Bridges

Shuwen Wei, Samuel Remedios, Zhangxing Bian, Shimeng Wang and 8 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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C2G-BENCH: A Cyber-Physical Evaluation Benchmark for Hierarchical Reinforcement Learning in Grid-Interactive Hyperscale Data Centers

Vineet Gundecha, Sahand Ghorbanpour, Sifat Abdullah, Mahasweta Chakraborti and 5 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026VanderbiltProteins

Benchmarking sequence-to-ensemble predictors on UNICORNEdb, a UniProt-grouped database of PDB-derived conformational ensembles

William F Vanderbilt-Fried, Luka Butskhrikidze, Benjamin P Brown, Hassane Mchaourab and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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89%Must read
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Knowledge Transfer Scaling Laws for 3D Medical Imaging

Medical imaging pretraining reveals asymmetric cross-domain scaling and power-law transfer, yielding optimized data allocations with a hub-and-island structure that improves transfer over proportional sampling by up to 58%.

Ho Hin Lee, Dongna Du, Chu Wang, Yuankai Huo and 3 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
83%Must read
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TherapyGym: Evaluating and Aligning Clinical Fidelity and Safety in Therapy Chatbots

TherapyGym introduces CTRS-based fidelity and multi-label safety evaluation for therapy chatbots, with RL training raising expert-rated CBT adherence from 0.10 to 0.60.

Fangrui Huang, Souhad Chbeir, Arpandeep Khatua, Sheng Wang and 7 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
72%Highly rated
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Efficient Transferable Optimal Transport via Min-Sliced Transport Plans

Min-sliced transport plans transfer optimized slicers across related distributions with theoretical guarantees and efficient minibatch scaling for matching and generation.

Xinran Liu, Elaheh Akbari, Rocio Diaz Martin, Navid NaderiAlizadeh and 1 more

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

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
70%Highly rated
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Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design

A retinal model with a novel opsin layer simulates color vision evolution and optimizes task-specific camera spectral filters via mutation-driven adaptation.

Yijie Lu, Zhimin Zong, Junjie Zhang, Shenghan Su and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 0/5
83%Must read
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Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative Decoding

Systematic evaluation finds traversal verification dominates multi-path speculative decoding, so delayed tree expansion and a dynamic neural selector boost optimal-transport verification to surpass it by 5% throughput.

Rahul K Thomas, Teo Kitanovski, Micah Goldblum, Arka Pal

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 2/5
88%Must read
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BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction

BioBlobs is an encoder-agnostic framework that compresses proteins into cohesive substructures to predict function and unsupervisedly discovers functional sites like catalytic triads. It matches baselines using only a small residue fraction, recovers experimentally annotated catalytic sites, and sca

Xin(Allen) Wang, Kaiwen Shi, Carlos Oliver

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
76%Highly rated
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BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation

BEAGLE is a neuro-symbolic framework that embeds self-regulated learning theory to simulate novice programming behaviors and resists competency bias, producing student traces indistinguishable from real data in human evaluation.

Hanchen D Wang, Clayton Cohn, Zifan Xu, Siyuan Guo and 2 more

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

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5