GS
Greg Ver Steeg
cs.LGstat.MLcs.ITcs.SImath.ITcs.AIcs.CLphysics.soc-phphysics.data-ancs.CV
On Valency
published · living versionsW_h3xywxpj·v1 · currentpublished
Federated training performs as well as centralized for 3D Latent Diffusion for Diagnosis-Conditioned Brain MRI Synthesis
with Abhijith Shaji, Paul Kurian, Paul M. Thompson, Jose-Luis Ambite
1 version
W_7ktvcfty·v1published
Preprints & journals
116 papers in the corpus · 2004–2026DEdit: Iterative Draft Editing for Speculative Decoding2609.38510v1 · Longxuan Yu, Bingsen Chen, Peng Shi et al.2026 · 0 citationsarXiv
Local MAP Sampling for Diffusion Models2510.07343v3 · Shaorong Zhang, Rob Brekelmans, Greg Ver Steeg2025 · 0 citationsarXiv
FedDAPL: Toward Client-Private Generalization in Federated Learning2509.23688v1 · Soroosh Safari Loaliyan, Jose-Luis Ambite, Paul M. Thompson et al.2025 · 0 citationsarXiv
MMG: Mutual Information Estimation via the MMSE Gap in Diffusion2509.20609v2 · Longxuan Yu, Xing Shi, Xianghao Kong et al.2025 · 0 citationsarXiv
Generating diffusion MRI scalar maps from T1-weighted images using Reversible GANs.40949966 · Chattopadhyay, Tamoghna, Mehendale, Gautam, Thomopoulos, Sophia I et al.2025 · 0 citationsbioRxiv : the preprint server for biology. 2025
Diffusion Bridge Models for 3D Medical Image Translation.41336848 · Zhang, Shaorong, Chattopadhyay, Tamoghna, Thomopoulos, Sophia I et al.2025 · 3 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2025;2025:1-7
Denoising Diffusion Wavelet Models for Zero-shot Medical Image Translation.41551776 · Li, Yunxiang, Kong, Xianghao, Xie, Jiacheng et al.2026 · 6 citationsKnowledge-based systems. 2025;324
Measurement-Aligned Sampling for Inverse Problem2506.11893v2 · Shaorong Zhang, Rob Brekelmans, Yunshu Wu et al.2025 · 0 citationsarXiv
AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion2505.12358v1 · Abrar Rahman Abir, Haz Sameen Shahgir, Md Rownok Zahan Ratul et al.2025 · 0 citationsarXiv
KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs2504.07087v1 · Elan Markowitz, Krupa Galiya, Greg Ver Steeg et al.2025 · 0 citationsarXiv
Synthetic Diffusion Tensor Imaging Maps Generated by 2D and 3D Probabilistic Diffusion Models: Evaluation and Applications.40060678 · Chattopadhyay, Tamoghna, Jagad, Chirag, Kush, Rudransh et al.2026 · 2 citationsbioRxiv : the preprint server for biology. 2025
Making Sense Of Distributed Representations With Activation Spectroscopy2501.15435v1 · Kyle Reing, Greg Ver Steeg, Aram Galstyan2025 · 0 citationsarXiv
Learning Morphisms with Gauss-Newton Approximation for Growing Networks2411.05855v1 · Neal Lawton, Aram Galstyan, Greg Ver Steeg2024 · 0 citationsarXiv
QuAILoRA: Quantization-Aware Initialization for LoRA2410.14713v1 · Neal Lawton, Aishwarya Padmakumar, Judith Gaspers et al.2024 · 0 citationsarXiv
Comparison of Explainable AI Models for MRI-based Alzheimer's Disease Classification.39345522 · Chattopadhyay, Tamoghna, Joshy, Neha Ann, Jagad, Chirag et al.2024 · 5 citationsbioRxiv : the preprint server for biology. 2024
A federated learning architecture for secure and private neuroimaging analysis.39233693 · Stripelis, Dimitris, Gupta, Umang, Saleem, Hamza et al.2026 · 31 citationsPatterns (New York, N.Y.). 2024;5(8):101031
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training2407.08946v2 · Yunshu Wu, Yingtao Luo, Xianghao Kong et al.2024 · 1 citationarXiv
Comparison of deep learning architectures for predicting amyloid positivity in Alzheimer's disease, mild cognitive impairment, and healthy aging, from T1-weighted brain structural MRI.39015378 · Chattopadhyay, Tamoghna, Ozarkar, Saket S, Buwa, Ketaki et al.2026 · 17 citationsFrontiers in neuroscience. 2024;18:1387196
q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics.38565955 · Marmarelis, Myrl G, Littman, Russell, Battaglin, Francesca et al.2024 · 1 citationCommunications biology. 2024;7(1):400
Advances in AI for Protein Structure Prediction: Implications for Cancer Drug Discovery and Development.38540759 · Qiu, Xinru, Li, Han, Ver Steeg, Greg et al.2024 · 89 citationsBiomolecules. 2024;14(3)
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding2402.08919v1 · Alessandro Achille, Greg Ver Steeg, Tian Yu Liu et al.2024 · 2 citationsarXiv
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks2312.14440v3 · Haz Sameen Shahgir, Xianghao Kong, Greg Ver Steeg et al.2023 · 3 citationsarXiv
Interpretable Diffusion via Information Decomposition2310.07972v3 · Xianghao Kong, Ollie Liu, Han Li et al.2023 · 3 citationsarXiv
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding2306.09520v2 · Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan et al.2023 · 0 citationsarXiv
Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application2306.06302v2 · Elan Markowitz, Ziyan Jiang, Fan Yang et al.2023 · 4 citationsICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning2305.19264v1 · Umang Gupta, Aram Galstyan, Greg Ver Steeg2023 · 3 citationsarXiv
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models2305.16597v1 · Neal Lawton, Anoop Kumar, Govind Thattai et al.2023 · 16 citationsarXiv
Measuring and Mitigating Local Instability in Deep Neural Networks2305.10625v2 · Arghya Datta, Subhrangshu Nandi, Jingcheng Xu et al.2023 · 4 citationsarXiv
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds2303.06992v1 · Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi et al.2023 · 1 citationICLR 2022 https://openreview.net/forum?id=T0B9AoM_bFg
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models.36911284 · Gupta, Umang, Chattopadhyay, Tamoghna, Dhinagar, Nikhil et al.2023 · 6 citationsArXiv. 2023
Information-Theoretic Diffusion2302.03792v1 · Xianghao Kong, Rob Brekelmans, Greg Ver Steeg2023 · 1 citationarXiv
Functional Connectome of the Human Brain with Total Correlation.36554129 · Li, Qiang, Steeg, Greg Ver, Yu, Shujian et al.2026 · 24 citationsEntropy (Basel, Switzerland). 2022;24(12)
Evaluation of Transfer Learning Methods for Detecting Alzheimer's Disease with Brain MRI10.1101/2022.08.23.505030v2 · Dhinagar, N. J., Thomopoulos, S. I., Rajagopalan, P. et al.2022 · 24 citationsbioRxiv
Towards Sparsified Federated Neuroimaging Models via Weight Pruning2208.11669v1 · Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar et al.2022 · 4 citationsarXiv
Predicting Dementia Severity by Merging Anatomical and Diffusion MRI with Deep 3D Convolutional Neural Networks10.1101/2022.08.22.504801v1 · Chattopadhyay, T., Singh, A., Joshy, N. A. et al.2022 · 4 citationsbioRxiv
Functional Connectivity via Total Correlation: Analytical results in Visual Areas2208.05770v2 · Qiang Li, Greg Ver Steeg, Jesus Malo2022 · 18 citationsNeurocomputing 2023, 127143
Formal limitations of sample-wise information-theoretic generalization bounds2205.06915v2 · Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan2022 · 2 citationsarXiv
Secure & Private Federated Neuroimaging2205.05249v2 · Dimitris Stripelis, Umang Gupta, Hamza Saleem et al.2022 · 3 citationsarXiv
Federated Progressive Sparsification (Purge, Merge, Tune)+2204.12430v2 · Dimitris Stripelis, Umang Gupta, Greg Ver Steeg et al.2022 · 6 citationsarXiv
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal2203.12574v1 · Umang Gupta, Jwala Dhamala, Varun Kumar et al.2022 · 30 citationsarXiv
Inferring topological transitions in pattern-forming processes with self-supervised learning2203.10204v2 · Marcin Abram, Keith Burghardt, Greg Ver Steeg et al.2022 · 14 citationsarXiv
Failure Modes of Domain Generalization Algorithms2111.13733v1 · Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian et al.2021 · 8 citationsarXiv
Implicit SVD for Graph Representation Learning2111.06312v1 · Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar et al.2021 · 5 citationsAdvances in Neural Information Processing Systems (NeurIPS) 2021
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling2111.02434v3 · Greg Ver Steeg, Aram Galstyan2021 · 1 citationarXiv
Information-theoretic generalization bounds for black-box learning algorithms2110.01584v2 · Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg et al.2021 · 17 citationsarXiv
Attributing Fair Decisions with Attention Interventions2109.03952v1 · Ninareh Mehrabi, Umang Gupta, Fred Morstatter et al.2021 · 17 citationsarXiv
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption2108.03437v2 · Dimitris Stripelis, Hamza Saleem, Tanmay Ghai et al.2021 · 73 citationsarXiv
3D Convolutional Neural Networks for Classification of Alzheimer's and Parkinson's Disease with T1-Weighted Brain MRI10.1101/2021.07.26.453903v2 · Dhinagar, N. J., Thomopoulos, S. I., Owens-Walton, C. et al.2021 · 20 citationsbioRxiv
q-Paths: Generalizing the Geometric Annealing Path using Power Means2107.00745v1 · Vaden Masrani, Rob Brekelmans, Thang Bui et al.2021 · 4 citationsarXiv
Membership Inference Attacks on Deep Regression Models for Neuroimaging2105.02866v2 · Umang Gupta, Dimitris Stripelis, Pradeep K. Lam et al.2021 · 23 citationsarXiv
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