Karypis, George

41 publications

TMLR 2025 A Proximal Operator for Inducing 2:4-Sparsity Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis

ICLR 2025 AgentOccam: A Simple yet Strong Baseline for LLM-Based Web Agents Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala

NeurIPS 2025 All That Structure Matches Does Not Glitter Maya Martirossyan, Thomas Egg, Philipp Höllmer, George Karypis, Mark Transtrum, Adrian Roitberg, Mingjie Liu, Richard Hennig, Ellad B. Tadmor, Stefano Martiniani

ICLR 2025 AutoG: Towards Automatic Graph Construction from Tabular Data Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis

TMLR 2025 Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor

ICLRW 2025 Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor

TMLR 2025 LC-PLM: Long-Context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala

NeurIPS 2025 MLZero: A Multi-Agent System for End-to-End Machine Learning Automation Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Turkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Bernie Wang, George Karypis

NeurIPS 2025 Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang

ICML 2025 Open Materials Generation with Stochastic Interpolants Philipp Höllmer, Thomas Egg, Maya Martirossyan, Eric Fuemmeler, Zeren Shui, Amit Gupta, Pawan Prakash, Adrian Roitberg, Mingjie Liu, George Karypis, Mark Transtrum, Richard Hennig, Ellad B. Tadmor, Stefano Martiniani

ICML 2025 Proxsparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang, Shoham Sabach, Yu-Xiang Wang, George Karypis

AutoML 2024 AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models Zhiqiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Cuixiong Hu, Katrin Kirchhoff, George Karypis

ICML 2024 Differentially Private Bias-Term Fine-Tuning of Foundation Models Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

ICLR 2024 Mixed-Type Tabular Data Synthesis with Score-Based Diffusion in Latent Space Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis

TMLR 2024 Multimodal Chain-of-Thought Reasoning in Language Models Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola

ICLR 2024 OpenTab: Advancing Large Language Models as Open-Domain Table Reasoners Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis

NeurIPS 2024 Pre-Training Differentially Private Models with Limited Public Data Zhiqi Bu, Xinwei Zhang, Sheng Zha, Mingyi Hong, George Karypis

NeurIPS 2023 Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

AAAI 2023 Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis

ICML 2023 Differentially Private Optimization on Large Model at Small Cost Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

NeurIPS 2023 HyTrel: Hypergraph-Enhanced Tabular Data Representation Learning Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis

NeurIPS 2023 Large Language Models of Code Fail at Completing Code with Potential Bugs Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis

ICLR 2023 Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information Yulun Wu, Rob Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C Price, Luis F. Voloch, George Karypis

ICLR 2023 Street: A Multi-Task Structured Reasoning and Explanation Benchmark Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth

ECML-PKDD 2023 Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis

ICML 2023 XTab: Cross-Table Pretraining for Tabular Transformers Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran

ICLRW 2023 Zero Redundancy Distributed Learning with Differential Privacy Zhiqi Bu, Justin Chiu, Ruixuan Liu, Yu-Xiang Wang, Sheng Zha, George Karypis

AISTATS 2022 Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis

NeurIPSW 2022 Conditional Invariances for Conformer Invariant Protein Representations Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Soji Adeshina, Mayank Kakodkar, George Karypis, Bruno Ribeiro

NeurIPSW 2022 Differentially Private Bias-Term Only Fine-Tuning of Foundation Models Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

NeurIPS 2022 Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties Zeren Shui, Daniel Karls, Mingjian Wen, Ilia Nikiforov, Ellad Tadmor, George Karypis

ECML-PKDD 2022 Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis

LoG 2022 ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis

NeurIPSW 2022 Sequence-Graph Duality: Unifying User Modeling with Self-Attention for Sequential Recommendation Zeren Shui, Ge Liu, Anoop Deoras, George Karypis

AAAI 2022 TempoQR: Temporal Question Reasoning over Knowledge Graphs Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis

NeurIPSW 2022 Variational Causal Inference Yulun Wu, Layne C Price, Zichen Wang, Vassilis N. Ioannidis, Rob Barton, George Karypis

AAAI 2020 CAWA: An Attention-Network for Credit Attribution Saurav Manchanda, George Karypis

ACML 2010 Multi-Task Learning for Recommender System Xia Ning, George Karypis

ECML-PKDD 2009 Within-Network Classification Using Local Structure Similarity Christian Desrosiers, George Karypis

ECML-PKDD 2008 TOPTMH: Topology Predictor for Transmembrane Alpha-Helices Rezwan Ahmed, Huzefa Rangwala, George Karypis

MLJ 2004 Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering Ying Zhao, George Karypis