Suchergebnisse - Diffenderfer, James

End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver von Ma, Shaocong, Diffenderfer, James, Kailkhura, Bhavya, Zhou, Yi

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Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies von Bartoldson, Brian R., Diffenderfer, James, Parasyris, Konstantinos, Kailkhura, Bhavya

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Error Analysis of ZFP Compression for Floating-Point Data von Diffenderfer, James, Fox, Alyson, Hittinger, Jeffrey, Sanders, Geoffrey, Lindstrom, Peter

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Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods von Fox, Alyson, Diffenderfer, James, Hittinger, Jeffrey, Sanders, Geoffrey, Lindstrom, Peter

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LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks von Pal, Soumyadeep, Wang, Changsheng, Diffenderfer, James, Kailkhura, Bhavya, Liu, Sijia

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Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models von Arif, Huzaifa, Chen, Pin-Yu, Gittens, Alex, Diffenderfer, James, Kailkhura, Bhavya

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UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making von Duan, Jinhao, Diffenderfer, James, Madireddy, Sandeep, Chen, Tianlong, Kailkhura, Bhavya, Xu, Kaidi

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SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning von Jia, Jinghan, Zhang, Yihua, Zhang, Yimeng, Liu, Jiancheng, Runwal, Bharat, Diffenderfer, James, Kailkhura, Bhavya, Liu, Sijia

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TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention von Duan, Jinhao, Kong, Fei, Cheng, Hao, Diffenderfer, James, Kailkhura, Bhavya, Sun, Lichao, Zhu, Xiaofeng, Shi, Xiaoshuang, Xu, Kaidi

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Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered von Liu, Sijia, Lang, Yicheng, Pal, Soumyadeep, Wang, Changsheng, Huang, Yancheng, Fan, Chongyu, Diffenderfer, James, Kailkhura, Bhavya, Zhang, Yihua

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GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations von Duan, Jinhao, Zhang, Renming, Diffenderfer, James, Kailkhura, Bhavya, Sun, Lichao, Stengel-Eskin, Elias, Bansal, Mohit, Chen, Tianlong, Xu, Kaidi

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DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training von Chen, Aochuan, Zhang, Yimeng, Jia, Jinghan, Diffenderfer, James, Liu, Jiancheng, Parasyris, Konstantinos, Zhang, Yihua, Zhang, Zheng, Kailkhura, Bhavya, Liu, Sijia

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Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training von Bartoldson, Brian, Venkatraman, Siddarth, Diffenderfer, James, Jain, Moksh, Ben-Nun, Tal, Lee, Seanie, Kim, Minsu, Obando-Ceron, Johan, Bengio, Yoshua, Kailkhura, Bhavya

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BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models von Antoniuk, Evan R., Zaman, Shehtab, Ben-Nun, Tal, Li, Peggy, Diffenderfer, James, Sahin, Busra, Smolenski, Obadiah, Hsu, Tim, Hiszpanski, Anna M., Chiu, Kenneth, Kailkhura, Bhavya, Van Essen, Brian

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Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression von Hong, Junyuan, Duan, Jinhao, Zhang, Chenhui, Li, Zhangheng, Xie, Chulin, Lieberman, Kelsey, Diffenderfer, James, Bartoldson, Brian, Jaiswal, Ajay, Xu, Kaidi, Kailkhura, Bhavya, Hendrycks, Dan, Song, Dawn, Wang, Zhangyang, Li, Bo

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The Open Polymers 2026 (OPoly26) Dataset and Evaluations von Levine, Daniel S., Liesen, Nicholas, Chua, Lauren, Diffenderfer, James, Ingolfsson, Helgi, Kroonblawd, Matthew P., Kumar, Nitesh, Maiti, Amitesh, Mohottalalage, Supun S., Shuaibi, Muhammed, Van Essen, Brian, Wood, Brandon M., Zitnick, C. Lawrence, Blau, Samuel M., Antoniuk, Evan R.

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