Ester, Martin

24 publications

ICML 2025 Compositional Flows for 3D Molecule and Synthesis Pathway Co-Design Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester

ICLRW 2025 Compositional Flows for 3D Molecule and Synthesis Pathway Co-Design Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester

ICLR 2025 Generative Flows on Synthetic Pathway for Drug Design Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim

ICML 2025 Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov, Martin Ester, Emmanuel Bengio

AAAI 2024 Adversarially Balanced Representation for Continuous Treatment Effect Estimation Amirreza Kazemi, Martin Ester

NeurIPSW 2024 Causal Order Discovery Based on Monotonic SCMs Ali Izadi, Martin Ester

NeurIPSW 2024 Generative Flows on Synthetic Pathway for Drug Design Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim

ICLR 2024 IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs Yuzhen Mao, Martin Ester, Ke Li

NeurIPSW 2024 Improving OOD Generalization of Pre-Trained Encoders via Aligned Embedding-Space Ensembles Shuman Peng, Arash Khoeini, Sharan Vaswani, Martin Ester

NeurIPSW 2024 Improving OOD Generalization of Pre-Trained Encoders via Aligned Embedding-Space Ensembles Shuman Peng, Arash Khoeini, Sharan Vaswani, Martin Ester

NeurIPSW 2024 Informed Augmentation Selection Improves Tabular Contrastive Learning Arash Khoeini, Shuman Peng, Martin Ester

TMLR 2024 TacoGFN: Target-Conditioned GFlowNet for Structure-Based Drug Design Tony Shen, Seonghwan Seo, Grayson Lee, Mohit Pandey, Jason R Smith, Artem Cherkasov, Woo Youn Kim, Martin Ester

ICMLW 2023 Better Calibration Error Estimation for Reliable Uncertainty Quantification Shuman Peng, Parsa Alamzadeh, Martin Ester

NeurIPSW 2023 TacoGFN: Target Conditioned GFlowNet for Drug Design Tony Shen, Mohit Pandey, Jason Smith, Artem Cherkasov, Martin Ester

NeurIPSW 2023 TacoGFN: Target Conditioned GFlowNet for Drug Design Tony Shen, Mohit Pandey, Martin Ester

AAAI 2020 DGE: Deep Generative Network Embedding Based on Commonality and Individuality Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang

NeurIPSW 2019 Checking Functional Modularity in DNN by Biclustering Task-Specific Hidden Neurons Jialin Lu, Martin Ester

IJCAI 2018 ANRL: Attributed Network Representation Learning via Deep Neural Networks Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang

AAAI 2016 Community-Based Question Answering via Heterogeneous Social Network Learning Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester

AAAI 2016 Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu

ECML-PKDD 2014 Density-Based Subspace Clustering in Heterogeneous Networks Brigitte Boden, Martin Ester, Thomas Seidl

AAAI 2014 Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai

IJCAI 2011 A Transitivity Aware Matrix Factorization Model for Recommendation in Social Networks Mohsen Jamali, Martin Ester

ECML-PKDD 2006 Right of Inference: Nearest Rectangle Learning Revisited Byron J. Gao, Martin Ester