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Greg Ver Steeg

Observed names: G. Ver Steeg, Greg L. Ver Steeg, Steeg, Greg Ver, Ver Steeg, G. L. (Greg L.)
OpenAlex ID: A5137904175
Convergence of energy-differential ionization cross sections obtained from aT-matrix approach withR-matrix wave functions
2002 · K. Bartschat, M. P. Scott, et al. · Physical Review A · 7
Extraction of energy-differential ionization cross sections in time-dependent calculations
2002 · K. Bartschat, S. Riordan, et al. · Physical Review A · 7
Prompt Perturbation Consistency Learning for Robust Language Models
2024 · Yao Qiang, Subhrangshu Nandi, et al. · Findings of the Association for Computational Linguistics: EACL · 6
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Evading the Adversary in Invariant Representation
2018 · Daniel Moyer, Shuyang Gao, et al. · arXiv (Cornell University) · 4
Black Holes Conserve Information in Curved-Space Quantum Field Theory
2008 · Christoph Adami, Greg L. Ver Steeg · arXiv (Cornell University) · 4
Data Amount Heterogeneity Improves Performance in Federated Learning for Neuroimaging
2026 · Kurian, Paul, Chattopadhyay, Tamoghna, et al. · arXiv (Cornell University)
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LatLM: Line-Parallel Language Models with Deferred Commitment
2026 · Zhang, Shaorong, Li, Shiyuan, et al. · arXiv (Cornell University)
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Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models
2026 · Patel, Gaurav, Fang, Jun, et al. · arXiv (Cornell University)
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Line-Coupled Language Model
2026 · Li, Shiyuan, Zhang, Shaorong, et al. · arXiv (Cornell University)
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Revise, Don't Freeze: Sampler-Matched Training for Self-Correcting Masked Diffusion Language Models
2026 · Yu, Longxuan, Zhang, Shaorong, et al. · arXiv (Cornell University)
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Discrete Stochastic Localization for Non-autoregressive Generation
2026 · Wu, Yunshu, Cheng, Jiayi, et al. · arXiv (Cornell University)
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Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation
2026 · Huang, Kuan-Po, Lu, Bo-Ru, et al. · arXiv (Cornell University)
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Spectral Regularization for Diffusion Models
2026 · Chandran, Satish, Santos, Nicolas Roque dos, et al. · arXiv (Cornell University)
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Is Your Diffusion Sampler Actually Correct? A Sampler-Centric Evaluation of Discrete Diffusion Language Models
2026 · Tang, Luhan, Yu, Longxuan, et al. · arXiv (Cornell University)
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Discrete Stochastic Localization for Non-autoregressive Generation
2026 · Wu, Yunshu, Cheng, Jiayi, et al. · arXiv (Cornell University)
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Generation Order and Parallel Decoding in Masked Diffusion Models: An Information-Theoretic Perspective
2026 · Zhang, Shaorong, Yu, Longxuan, et al. · arXiv (Cornell University)
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Thinking Out of Order: When Output Order Stops Reflecting Reasoning Order in Diffusion Language Models
2026 · Yu, Longxuan, Fu, Yu, et al. · arXiv (Cornell University)
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Multi-modal Imputation for Alzheimer's Disease Classification
2026 · Shaji, Abhijith, Chattopadhyay, Tamoghna, et al. · arXiv (Cornell University)
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DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs
2026 · Longxuan Yu, Yunshu Wu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Exploring the Design Space of Diffusion Bridge Models
2025 · Shaorong Zhang, Yuanbin Cheng, et al. · neural information processing systems
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Coherence effects in deep inelastic scattering from nuclei
2001 · Ver Steeg, G. L. (Greg L.), Raufeisen, J. (Jorg) · University of North Texas Digital Library (University of North Texas)
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Works count: 21
Citation count: 28
H-index: 4
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