Liu, Dianbo

23 publications

ICLRW 2025 Enhancing Diversity and Novelty in Text Generation via Multi-View Embeddings Arash Lagzian, Srinivas Anumasa, Dianbo Liu
TMLR 2025 Evolution Guided Generative Flow Networks Zarif Ikram, Ling Pan, Dianbo Liu
AAAI 2025 Flow Factorization for Efficient Generative Flow Networks Jiashun Liu, Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan
ICLRW 2025 Masked Generative Priors Improve World Models Sequence Modelling Capabilities Cristian Meo, Mircea Tudor Lică, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels
ICLRW 2025 Small Features Matter: Robust Representation for World Models Zarif Ikram, Miranda Anna Christ, Ling Pan, Dianbo Liu
ICML 2025 Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang, Yu Cao, Dianbo Liu
ICLRW 2024 Antibody Sequence Optimization with Gradient-Guided Discrete Walk-Jump Sampling Zarif Ikram, Dianbo Liu, M Saifur Rahman
NeurIPSW 2024 CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept YuXuan Wu, Bonaventure F. P. Dossou, Dianbo Liu
ICLRW 2024 Evolution Guided Generative Flow Networks Zarif Ikram, Ling Pan, Dianbo Liu
TMLR 2024 Gradient-Guided Discrete Walk-Jump Sampling for Biological Sequence Generation Zarif Ikram, Dianbo Liu, M Saifur Rahman
TMLR 2024 Physical Reasoning and Object Planning for Household Embodied Agents Ayush Agrawal, Raghav Prabhakar, Anirudh Goyal, Dianbo Liu
NeurIPSW 2024 Representation Collapsing Problems in Vector Quantization Wenhao Zhao, Qiran Zou, Rushi Shah, Dianbo Liu
ICML 2024 Unsupervised Concept Discovery Mitigates Spurious Correlations Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi
AAAI 2023 Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi
NeurIPSW 2023 Attention Schema in Neural Agents Dianbo Liu, Samuele Bolotta, Mike He Zhu, Zahra Sheikhbahaee, Yoshua Bengio, Guillaume Dumas
NeurIPSW 2023 Causal Discovery in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems Trang Nguyen, Alexander Tong, Kanika Madan, Yoshua Bengio, Dianbo Liu
ICML 2023 GFlowOut: Dropout with Generative Flow Networks Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio
NeurIPSW 2023 Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries Zarif Ikram, Ling Pan, Dianbo Liu
NeurIPS 2023 Reusable Slotwise Mechanisms Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Duy Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio
ICLR 2023 Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio
NeurIPS 2021 Discrete-Valued Neural Communication Dianbo Liu, Alex M Lamb, Kenji Kawaguchi, Anirudh Goyal ALIAS PARTH Goyal, Chen Sun, Michael Mozer, Yoshua Bengio
ICCV 2021 FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu, Yoshua Bengio
ICLR 2020 Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence Dianbo Liu, Timothy A Miller, Kenneth D. Mandl