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James Diffenderfer · SciRah

Researcher profile · Semantic Scholar

James Diffenderfer

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James Diffenderfer — researcher profile on SciRah

h-index: 13
Works: 30
Citations: 1,034

Most-cited papers

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
Jinhao Duan, Renming Zhang, James Diffenderfer, B. Kailkhura +5 more
2024arXiv.org139 citations
Semantic Scholar
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu +4 more
2024Conference on Empirical Methods in Natural Language Processing127 citations
Semantic Scholar
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer +6 more
2023International Conference on Learning Representations104 citations Open access
Semantic Scholar
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer, B. Kailkhura
2021International Conference on Learning Representations90 citations
Semantic Scholar
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
James Diffenderfer, B. Bartoldson, Shreya Chaganti, Ji-Ze Zhang +1 more
2021Neural Information Processing Systems88 citations
Semantic Scholar
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
Junyuan Hong, Jinhao Duan, Chen-Hui Zhang, Zhang-Heng Li +11 more
2024International Conference on Machine Learning85 citations
Semantic Scholar
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
Jinhao Duan, Renming Zhang, James Diffenderfer, B. Kailkhura +5 more
2024Neural Information Processing Systems83 citations
Semantic Scholar
A comparative study of predicting high entropy alloy phase fractions with traditional machine learning and deep neural networks
Shu-Sen Liu, B. Bocklund, James Diffenderfer, Shreya Chaganti +5 more
2024npj Computational Materials68 citations Open access
Semantic Scholar
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
B. Bartoldson, James Diffenderfer, Konstantinos Parasyris, B. Kailkhura
2024International Conference on Machine Learning60 citations
Semantic Scholar
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
Jinhao Duan, James Diffenderfer, Sandeep Madireddy, Tian-Long Chen +2 more
2025arXiv.org46 citations
Semantic Scholar
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
B. Bartoldson, S. Venkatraman, James Diffenderfer, Moksh Jain +6 more
2025Neural Information Processing Systems36 citations
Semantic Scholar
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
Soumyadeep Pal, Chang-Sheng Wang, James Diffenderfer, B. Kailkhura +1 more
2025arXiv.org18 citations
Semantic Scholar
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
Evan R. Antoniuk, Shehtab Zaman, Tal Ben-Nun, Peggy Li +9 more
2025Neural Information Processing Systems15 citations
Semantic Scholar
The Open Polymers 2026 (OPoly26) Dataset and Evaluations
Daniel S. Levine, Nicholas T. Liesen, L. Chua, James Diffenderfer +11 more
202513 citations
Semantic Scholar
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention
Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer +5 more
2025IEEE International Conference on Computer Vision13 citations Open access
Semantic Scholar
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models
Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun +3 more
2024North American Chapter of the Association for Computational Linguistics12 citations Open access
Semantic Scholar
Neural Image Compression: Generalization, Robustness, and Spectral Biases
Kelsey Lieberman, James Diffenderfer, Charles Godfrey, B. Kailkhura
2023Neural Information Processing Systems12 citations Open access
Semantic Scholar
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
Mohit Bansal, Tian-Long Chen, James Diffenderfer, Jinhao Duan +5 more
2024Advances in Neural Information Processing Systems 379 citations
Semantic Scholar
Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning
Ioannis C. Tsaknakis, B. Kailkhura, Sijia Liu, Donald Loveland +3 more
2022arXiv.org5 citations Open access
Semantic Scholar
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices
Kshitij Bhardwaj, James Diffenderfer, B. Kailkhura, M. Gokhale
2022IEEE International Symposium on Performance Analysis of Systems and Software5 citations Open access
Semantic Scholar
Deep learning of PDE correction and mesh adaption without automatic differentiation
Shao-Cong Ma, James Diffenderfer, B. Kailkhura, Yi Zhou
2025Machine-mediated learning4 citations
Semantic Scholar
When SNN meets ANN: Error-Free ANN-to-SNN Conversion for Extreme Edge Efficiency
G. Datta, Ze-Yu Liu, James Diffenderfer, B. Kailkhura +1 more
2025Trans. Mach. Learn. Res.3 citations
Semantic Scholar
Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models
Huzaifa Arif, Pin-Yu Chen, Alex Gittens, James Diffenderfer +1 more
2025arXiv.org3 citations
Semantic Scholar
Unsupervised Test-Time Adaptation of Deep Neural Networks at the Edge: A Case Study
Kshitij Bhardwaj, James Diffenderfer, B. Kailkhura, M. Gokhale
2022Design, Automation and Test in Europe3 citations Open access
Semantic Scholar
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
G. Datta, Ze-Yu Liu, James Diffenderfer, B. Kailkhura +1 more
2023arXiv.org2 citations
Semantic Scholar
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Sara Fridovich-Keil, B. Bartoldson, James Diffenderfer, B. Kailkhura +1 more
2022Neural Information Processing Systems2 citations Open access
Semantic Scholar
Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed
Hao Cheng, Pu Zhao, Yi-Ze Li, Xue Lin +3 more
2022arXiv.org2 citations Open access
Semantic Scholar
Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered
Si-Jia Liu, Yi-Cheng Lang, Soumyadeep Pal, Chang-Sheng Wang +5 more
2026arXiv.org1 citations
Semantic Scholar
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
Shao-Cong Ma, James Diffenderfer, B. Kailkhura, Yi Zhou
2024arXiv.org1 citations
Semantic Scholar
SURE: data-efficient safety guardrailing via internal representations and uncertainty-weighted pseudo-labels
Hanwen Li, Jinhao Duan, Chenxi Yuan, James Diffenderfer +3 more
2026npj Artificial Intelligence0 citations Open access
Semantic Scholar

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