gflownet.bib

% Machine Learning - Main Conferences / Journals
@string{uai="Conference on Uncertainty in Artificial Intelligence (UAI)"}
@string{icml="International Conference on Machine Learning (ICML)"}
@string{neurips="Advances in Neural Information Processing Systems (NeurIPS)"}
@string{jmlr="Journal of Machine Learning Research (JMLR)"}
@string{ijcai="International Joint Conference on Artificial Intelligence (IJCAI)"}
@string{iclr="International Conference on Learning Representations (ICLR)"}
@string{iclrws="International Conference on Learning Representations (ICLR), Workshop Track"}
@string{mlsp="IEEE International Workshop for Machine Learning in Signal Processing"}
@string{tmlr="Transactions on Machine Learning Research (TMLR)"}
@string{aabi="Advances in Approximate Bayesian Inference (AABI)"}
@string{clear="Conference on Causal Learning and Reasoning (CLeaR)"}

% NLP
@string{acl="Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)"}
@string{conll="SIGNLL Conference on Computational Natural Language Learning (CoNLL)"}
@string{emnlp="Conference on Empirical Methods in Natural Language Processing (EMNLP)"}
@string{tacl="Transactions of the Association for Computational Linguistics (TACL)"}

% Vision
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@string{ijcv="International Journal of Computer Vision"}
@string{iccv="International Conference on Computer Vision (ICCV)"}
@string{eccv="European Conference on Computer Vision (ECCV)"}
@string{siggraph="Proceedings of SIGGRAPH"}

% Theory
@string{tcs="Theoretical Computer Science"}
@string{soda="SIAM-ACM Symposium on Discrete Algorithms (SODA)"}
@string{focs="IEEE Symposium on Foundations of Computer Science (FOCS)"}
@string{colt="Conference on Learning Theory (COLT)"}
@string{stoc="Symposium on Theory of Computing (STOC)"}
@string{icalp="International Colloquium on Automata, Languages and Programming (ICALP)"}

% Robotics
@string{icra="IEEE International Conference on Robotics and Automation (ICRA)"}

% Misc AI
@string{jair="Journal of Artificial Intelligence Research"}
@string{aaai="AAAI Conference on Artificial Intelligence"}
@string{aistats="International Conference on Artificial Intelligence and Statistics (AISTATS)"}
@string{kdd="ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)"}
@string{tpami="IEEE Transactions on Pattern Analysis and Machine Intelligence"}
@string{tog="ACM Transactions on Graphics (TOG)"}
@string{mathprog="Mathematical Programming"}
@string{infpl="Information Processing Letters"}
@string{jacm="Journal of the ACM"}
@string{tkdd="ACM Transactions on Knowledge Discovery from Data (TKDD)"}
@string{icalp="International Colloquium on Automata, Languages, and Programming (ICALP)"}
@string{wads="Workshop on Algorithms and Data Structures (WADS)"}
@string{wadsnew="International Symposium on Algorithms and Data Structures (WADS)"}
@string{vldb="International Conference on Very Large Data Bases (VLDB)"}
@string{wsdm="ACM International Conference on Web Search and Data Mining (WSDM)"}
@string{acc="Annual Allerton Conference on Circuit and System Theory"}
@string{www="Proceedings of the International World Wide Web Conference (WWW)"}
@string{icwsm="International AAAI Conference on Web and Social Media (ICWSM)"}

% More general
@string{arxiv="arXiv Preprint"}
@string{openreview="Openreview Preprint"}
@string{rsc="Royal Society of Chemistry"}
@string{acspub="ACS Publications"}
@string{wol="Wiley Online Library"}
@string{spr="Springer"}
@string{npg="Nature Publishing Group"}
@string{ang="Angew. Chem., Int. Ed."}

% 2024

@article{venkatraman2024rtb,
  title={Amortizing intractable inference in diffusion models for vision, language, and control},
  author={Siddarth Venkatraman and Moksh Jain and Luca Scimeca and Minsu Kim and Marcin Sendera and Mohsin Hasan and Luke Rowe and Sarthak Mittal and Pablo Lemos and Emmanuel Bengio and Alexandre Adam and Jarrid Rector-Brooks and Yoshua Bengio and Glen Berseth and Nikolay Malkin},
  journal=neurips,
  year={2024}
}

@phdthesis{lahlou2024gfnthesis,
  title={{Advances in uncertainty modelling: from epistemic uncertainty estimation to generalized generative flow networks}},
  author={Lahlou, Salem},
  year={2024},
  school={Universit\'{e} de Montr\'{e}al}
}

@article{jiralerspong2024eflownet,
  title={{Expected flow networks in stochastic environments and two-player zero-sum games}},
  author={Jiralerspong, Marco and Sun, Bilun and Vucetic, Danilo and Zhang, Tianyu and Bengio, Yoshua and Gidel, Gauthier and Malkin, Nikolay},
  journal=iclr,
  year={2024}
}

@article{falet2024deltaai,
  title={{Delta-AI: Local objectives for amortized inference in sparse graphical models}},
  author={Falet, Jean-Pierre and Lee, Hae Beom and Malkin, Nikolay and Sun, Chen and Secrieru, Dragos and Zhang, Dinghuai and Lajoie, Guillaume and Bengio, Yoshua},
  journal=iclr,
  year={2024}
}

@article{kim2024lsgfn,
  title={{Local Search GFlowNets}},
  author={Kim, Minsu and Yun, Taeyoung and Bengio, Emmanuel and Zhang, Dinghuai and Bengio, Yoshua and Ahn, Sungsoo and Park, Jinkyoo},
  journal=iclr,
  year={2024}
}

@article{jang2024ledgfn,
  title={{Learning Energy Decompositions for Partial Inference of GFlowNets}},
  author={Jang, Hyosoon and Kim, Minsu and Ahn, Sungsoo},
  journal=iclr,
  year={2024}
}

@article{hu2024gfnllm,
  title={Amortizing intractable inference in large language models},
  author={Hu, Edward J and Jain, Moksh and Elmoznino, Eric and Kaddar, Younesse and Lajoie, Guillaume and Bengio, Yoshua and Malkin, Nikolay},
  journal=iclr,
  year={2024}
}

@article{zhang2024dgfs,
  title={{Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization}},
  author={Zhang, Dinghuai and Chen, Ricky Tian Qi and Liu, Cheng-Hao and Courville, Aaron and Bengio, Yoshua},
  journal=iclr,
  year={2024}
}

@article{pan2024outcomeconditionedgfn,
  title={{Pre-Training and Fine-Tuning Generative Flow Networks}},
  author={Pan, Ling and Jain, Moksh and Madan, Kanika and Bengio, Yoshua},
  journal=iclr,
  year={2024}
}

@article{zhou2024phylogfn,
  title={{PhyloGFN: Phylogenetic inference with generative flow networks}},
  author={Zhou, Mingyang and Yan, Zichao and Layne, Elliot and Malkin, Nikolay and Zhang, Dinghuai and Jain, Moksh and Blanchette, Mathieu and Bengio, Yoshua},
  journal=iclr,
  year={2024}
}

@article{chen2024orderpreservinggfn,
  title={{Order-Preserving GFlowNets}},
  author={Chen, Yihang and Mauch, Lukas},
  journal=iclr,
  year={2024}
}

@article{tiapkin2024gfnmaxentrl,
  title={{Generative Flow Networks as Entropy-Regularized RL}},
  author={Tiapkin, Daniil and Morozov, Nikita and Naumov, Alexey and Vetrov, Dmitry},
  journal=aistats,
  year={2024}
}

@article{mohammadpour2024maxentgfn,
  title={{Maximum entropy GFlowNets with soft Q-learning}},
  author={Mohammadpour, Sobhan and Bengio, Emmanuel and Frejinger, Emma and Bacon, Pierre-Luc},
  journal=aistats,
  year={2024}
}

@article{brunswic2024nonacyclicgfn,
  title={{A Theory of Non-Acyclic Generative Flow Networks}}, 
  author={Brunswic, Leo Maxime and Li, Yinchuan and Xu, Yushun and Jui, Shangling and Ma, Lizhuang},
  journal=aaai,
  year={2024}
}

@article{kim2024logitgfn,
  title={{Learning to Scale Logits for Temperature-Conditional GFlowNets}},
  author={Kim, Minsu and Ko, Joohwan and Zhang, Dinghuai and Pan, Ling and Yun, Taeyoung and Kim, Woochang and Park, Jinkyoo and Bengio, Yoshua},
  journal=icml,
  year={2024}
}

@article{deleu2024gfnmaxentrl,
    title={{Discrete Probabilistic Inference as Control in Multi-path Environments}},
    author={Deleu, Tristan and Nouri, Padideh and Malkin, Nikolay and Precup, Doina and Bengio, Yoshua},
    journal=uai,
    year={2024}
}

@article{sendera2024diffusiongfn,
  title={{On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling}},
  author={Sendera, Marcin and Kim, Minsu and Mittal, Sarthak and Lemos, Pablo and Scimeca, Luca and Rector-Brooks, Jarrid and Adam, Alexandre and Bengio, Yoshua and Malkin, Nikolay},
  journal=neurips,
  year={2024}
}

@article{lau2024qgfn,
  title={{QGFN: Controllable Greediness with Action Values}},
  author={Lau, Elaine and Lu, Stephen Zhewen and Pan, Ling and Precup, Doina and Bengio, Emmanuel},
  journal=neurips,
  year={2024}
}

@article{cipcigan2024matgfn,
  title={{Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets}},
  author={Cipcigan, Flaviu and Booth, Jonathan and Ferreira, Rodrigo Neumann Barros and dos Santos, Carine Ribeiro and Steiner, Mathias},
  journal={Digital Discovery},
  year={2024},
  publisher={Royal Society of Chemistry}
}

@mastersthesis{manta2024latentdaggfn,
  title={{Towards an Extension of Causal Discovery with Generative Flow Networks to Latent Variables Models}},
  author={Manta, Dragos Cristian},
  school={Universit\'{e} de Montr\'{e}al},
  year={2024}
}

@article{bunao2024gfncovariantloopquantum,
  title={{Generative Flow Networks in Covariant Loop Quantum Gravity}},
  author={Bunao, Joseph and Frisoni, Pietropaolo and Kogios, Athanasios and Wogan, Jared},
  journal=arxiv,
  year={2024}
}

@article{nguyen2023hierarchicalgfncrystal,
  title={{Hierarchical GFlownet for Crystal Structure Generation}},
  author={Nguyen, Tri Minh and Tawfik, Sherif Abdulkader and Tran, Truyen and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
  journal={AI for Accelerated Materials Design Workshop (NeurIPS)},
  year={2023}
}

@article{kim2024antcolonygfn,
  title={{Ant Colony Sampling with GFlowNets for Combinatorial Optimization}},
  author={Kim, Minsu and Choi, Sanghyeok and Son, Jiwoo and Kim, Hyeonah and Park, Jinkyoo and Bengio, Yoshua},
  journal=arxiv,
  year={2024}
}

@article{lee2024redteaminggfn,
  title={{Learning diverse attacks on large language models for robust red-teaming and safety tuning}},
  author={Lee, Seanie and Kim, Minsu and Cherif, Lynn and Dobre, David and Lee, Juho and Hwang, Sung Ju and Kawaguchi, Kenji and Gidel, Gauthier and Bengio, Yoshua and Malkin, Nikolay and Jain, Moksh},
  journal=arxiv,
  year={2024}
}

@article{song2024latentlogictreegfn,
  title={{Latent Logic Tree Extraction for Event Sequence Explanation from LLMs}},
  author={Song, Zitao and Yang, Chao and Wang, Chaojie and An, Bo and Li, Shuang},
  journal=icml,
  year={2024}
}

@article{cretu2024synflownet,
  title={{SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways}},
  author={Cretu, Miruna and Harris, Charles and Roy, Julien and Bengio, Emmanuel and Li{\`o}, Pietro},
  journal={Generative and Experimental Perspectives for Biomolecular Design Workshop (ICLR)},
  year={2024}
}

@article{lu2024cellmorphologygfn,
  title={{Cell Morphology-Guided Small Molecule Generation with GFlowNets}},
  author={Lu, Stephen Zhewen and Lu, Ziqing and Hajiramezanali, Ehsan and Biancalani, Tommaso and Bengio, Yoshua and Scalia, Gabriele and Koziarski, Micha{\l}},
  journal={Structured Probabilistic Inference \& Generative Modeling Workshop (ICML)},
  year={2024}
}

@article{morozov2024mctsgfn,
  title={{Improving GFlowNets with Monte Carlo Tree Search}},
  author={Morozov, Nikita and Tiapkin, Daniil and Samsonov, Sergey and Naumov, Alexey and Vetrov, Dmitry},
  journal={Structured Probabilistic Inference \& Generative Modeling Workshop (ICML)},
  year={2024}
}

@article{zhang2024directalignmentgfn,
  title={{Improving GFlowNets for Text-to-Image Diffusion Alignment}},
  author={Zhang, Dinghuai and Zhang, Yizhe and Gu, Jiatao and Zhang, Ruixiang and Susskind, Josh and Jaitly, Navdeep and Zhai, Shuangfei},
  journal=tmlr,
  year={2024}
}

% 2023

@article{bengio2023gflownetfoundations,
  title={{GFlowNet Foundations}},
  author={Bengio, Yoshua and Lahlou, Salem and Deleu, Tristan and Hu, Edward J and Tiwari, Mo and Bengio, Emmanuel},
  journal=jmlr,
  year={2023}
}

@article{jain2023gfnscientific,
  title={{GFlowNets for AI-Driven Scientific Discovery}},
  author={Jain, Moksh and Deleu, Tristan and Hartford, Jason and Liu, Cheng-Hao and Hernandez-Garcia, Alex and Bengio, Yoshua},
  journal={Digital Discovery},
  publisher={Royal Society of Chemistry},
  year={2023}
}

@article{malkin2023gfnhvi,
  title={{GFlowNets} and variational inference},
  author={Malkin, Nikolay and Lahlou, Salem and Deleu, Tristan and Ji, Xu and Hu, Edward and Everett, Katie and Zhang, Dinghuai and Bengio, Yoshua},
  journal=iclr,
  year={2023}
}

@article{zhang2023gfnrobustscheduling,
  title={{Robust Scheduling with GFlowNets}},
  author={Zhang, David and Rainone, Corrado and Peschl, Markus and Bondesan, Roberto},
  journal=iclr,
  year={2023}
}

@article{pan2023gafn,
  title={{Generative Augmented Flow Networks}},
  author={Pan, Ling and Zhang, Dinghuai and Courville, Aaron and Huang, Longbo and Bengio, Yoshua},
  journal=iclr,
  year={2023}
}

@article{liu2023gflowout,
  title={{GFlowOut: Dropout with Generative Flow Networks}},
  author={Liu, Dianbo and Jain, Moksh and Dossou, Bonaventure FP and Shen, Qianli and Lahlou, Salem and Goyal, Anirudh and Malkin, Nikolay and Emezue, Chris Chinenye and Zhang, Dinghuai and Hassen, Nadhir and others},
  journal=icml,
  year={2023}
}

@article{madan2022subtb,
  title={Learning {GFlowNets} from partial episodes for improved convergence and stability},
  author={Kanika Madan and Jarrid Rector-Brooks and Maksym Korablyov and Emmanuel Bengio and Moksh Jain and Andrei Nica and Tom Bosc and Yoshua Bengio and Nikolay Malkin},
  journal=icml,
  year={2023}
}

@article{jain2023mogfn,
  title={{Multi-Objective GFlowNets}},
  author={Jain, Moksh and Raparthy, Sharath Chandra and Hern{\'a}ndez-Garc{\i}a, Alex and Rector-Brooks, Jarrid and Bengio, Yoshua and Miret, Santiago and Bengio, Emmanuel},
  journal=icml,
  year={2023}
}

@article{lahlou2023continuousgfn,
  title={{A Theory of Continuous Generative Flow Networks}},
  author={Lahlou, Salem and Deleu, Tristan and Lemos, Pablo and Zhang, Dinghuai and Volokhova, Alexandra and Hern\'{a}ndez-Garc\'{i}a, Alex and Ezzine, L\'{e}na N\'{e}hale and Bengio, Yoshua and Malkin, Nikolay},
  journal=icml,
  year={2023}
}

@article{pan2023flgfn,
  title={{Better Training of GFlowNets with Local Credit and Incomplete Trajectories}},
  author={Ling Pan and Nikolay Malkin and Dinghuai Zhang and Yoshua Bengio},
  journal=icml,
  year={2023}
}

@article{shen2023understandingtraininggfn,
  title={{Towards Understanding and Improving GFlowNet Training}},
  author={Shen, Max W and Bengio, Emmanuel and Hajiramezanali, Ehsan and Loukas, Andreas and Cho, Kyunghyun and Biancalani, Tommaso},
  journal=icml,
  year={2023}
}

@article{zhang2023distributionalgfn,
  title={{Distributional GFlowNets with Quantile Flows}},
  author={Zhang, Dinghuai and Pan, Ling and Chen, Ricky TQ and Courville, Aaron and Bengio, Yoshua},
  journal=tmlr,
  year={2023}
}

@article{hu2023gfnem,
  title={{GFlowNet-EM for Learning Compositional Latent Variable Models}},
  author={Edward J. Hu and Nikolay Malkin and Moksh Jain and Katie Everett and Alexandros Graikos and Yoshua Bengio},
  journal=icml,
  year={2023}
}

@article{pan2023stochasticgfn,
  title={{Stochastic Generative Flow Networks}},
  author={Pan, Ling and Zhang, Dinghuai and Jain, Moksh and Huang, Longbo and Bengio, Yoshua},
  journal=uai,
  year={2023}
}

@article{atanackovic2023dyngfn,
  title={{DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks}},
  author={Atanackovic, Lazar and Tong, Alexander and Hartford, Jason and Lee, Leo J. and Wang, Bo and Bengio, Yoshua},
  journal=neurips,
  year={2023}
}

@article{zhang2023graphcogfn,
  title={{Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets}},
  author={Zhang, Dinghuai and Dai, Hanjun and Malkin, Nikolay and Courville, Aaron and Bengio, Yoshua and Pan, Ling},
  journal=neurips,
  year={2023}
}

@article{zhu2023mobohngfn,
  title={{Sample-efficient Multi-objective Molecular Optimization with GFlowNets}},
  author={Zhu, Yiheng and Wu, Jialu and Hu, Chaowen and Yan, Jiahuan and Hou, Tingjun and Wu, Jian and others},
  journal=neurips,
  year={2023}
}

@article{deleu2023jspgfn,
  title={{Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network}},
  author={Deleu, Tristan and Nishikawa-Toomey, Mizu and Subramanian, Jithendaraa and Malkin, Nikolay and Charlin, Laurent and Bengio, Yoshua},
  journal=neurips,
  year={2023}
}

@article{hernandez2023multifidelitygfn,
  title={{Multi-Fidelity Active Learning with GFlowNets}},
  author={Hernandez-Garcia, Alex and Saxena, Nikita and Jain, Moksh and Liu, Cheng-Hao and Bengio, Yoshua},
  journal={Adaptive Experimental Design and Active Learning in the Real World (NeurIPS)},
  year={2023}
}

@article{garipov2023compositiongfn,
  title={{Compositional Sculpting of Iterative Generative Processes}},
  author={Garipov, Timur and De Peuter, Sebastiaan and Yang, Ge and Garg, Vikas and Kaski, Samuel and Jaakkola, Tommi},
  journal=neurips,
  year={2023}
}

@article{li2023cflownets,
  title={{CFlowNets: Continuous control with Generative Flow Networks}},
  author={Li, Yinchuan and Luo, Shuang and Wang, Haozhi and Hao, Jianye},
  journal=iclr,
  year={2023}
}

@article{nishikawa2023vbg,
  title={{Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes}},
  author={Mizu Nishikawa-Toomey and Tristan Deleu and Jithendaraa Subramanian and Yoshua Bengio and Laurent Charlin},
  journal={Graphs and More Complex Structures for Learning and Reasoning Workshop (AAAI)},
  year={2023}
}

@article{vemgal2023gfnreplaybuffer,
  title={{An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets}},
  author={Vemgal, Nikhil and Lau, Elaine and Precup, Doina},
  journal={Structured Probabilistic Inference \& Generative Modeling Workshop (ICML)},
  year={2023}
}

@article{manta2023gfncausaldiscovery,
  title={{GFlowNets for Causal Discovery: an Overview}},
  author={Manta, Dragos Cristian and Hu, Edward J and Bengio, Yoshua},
  booktitle={Structured Probabilistic Inference \& Generative Modeling Workshop (ICML)},
  year={2023}
}

@article{rectorbrooks2023thompsongfn,
  title={{Thompson sampling for improved exploration in GFlowNets}},
  author={Rector-Brooks, Jarrid and Madan, Kanika and Jain, Moksh and Korablyov, Maksym and Liu, Cheng-Hao and Chandar, Sarath and Malkin, Nikolay and Bengio, Yoshua},
  journal={Structured Probabilistic Inference \& Generative Modeling Workshop (ICML)},
  year={2023}
}

@article{malik2023batchgfn,
  title={{BatchGFN: Generative Flow Networks for Batch Active Learning}},
  author={Malik, Shreshth A and Lahlou, Salem and Jesson, Andrew and Jain, Moksh and Malkin, Nikolay and Deleu, Tristan and Bengio, Yoshua and Gal, Yarin},
  journal={Structured Probabilistic Inference \& Generative Modeling Workshop (ICML)},
  year={2023}
}

@article{roy2023goalconditionedgfn,
  title={{Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design}},
  author={Roy, Julien and Bacon, Pierre-Luc and Pal, Christopher and Bengio, Emmanuel},
  journal={Challenges in Deployable Generative AI Workshop (ICML)},
  year={2023}
}

@article{milaai4science2023crystalgfn,
  title={{Crystal-GFN: sampling crystals with desirable properties and constraints}},
  author={Mila AI4Science, {} and Hernandez-Garcia, Alex and Duval, Alexandre and Volokhova, Alexandra and Bengio, Yoshua and Sharma, Divya and Carrier, Pierre Luc and Koziarski, Micha{\l} and Schmidt, Victor},
  journal={AI for Accelerated Materials Design Workshop (NeurIPS)},
  year={2023}
}

@article{deleu2023gfnmarkovchain,
  title={{Generative Flow Networks: a Markov Chain Perspective}},
  author={Deleu, Tristan and Bengio, Yoshua},
  journal=arxiv,
  year={2023}
}

@article{nguyen2023swiftdyngfn,
  title={{Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems}},
  author={Nguyen, Trang and Tong, Alexander and Madan, Kanika and Bengio, Yoshua and Liu, Dianbo},
  journal={Generative AI \& Biology Workshop (NeurIPS)},
  year={2023}
}

@article{li2023gfnsr,
  title={{GFN-SR: Symbolic Regression with Generative Flow Networks}},
  author={Li, Sida and Marinescu, Ioana and Musslick, Sebastian},
  journal={AI for Science Workshop (NeurIPS)},
  year={2023}
}

@article{lau2023dgfn,
  title={{DGFN: Double Generative Flow Networks}},
  author={Lau, Elaine and Vemgal, Nikhil and Precup, Doina and Bengio, Emmanuel},
  journal={Generative AI \& Biology Workshop (NeurIPS)},
  year={2023}
}

@article{ikram2023roundaboutgenerationgfn,
  title={{Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries}},
  author={Ikram, Zarif and Pan, Ling and Liu, Dianbo},
  journal={Adaptive Experimental Design and Active Learning in the Real World Workshop (NeurIPS)},
  year={2023}
}

@article{volokhova2024conformationgeneration,
  title={{Towards equilibrium molecular conformation generation with GFlowNets}},
  author={Volokhova, Alexandra and Koziarski, Micha{\l} and Hern{\'a}ndez-Garc{\'\i}a, Alex and Liu, Cheng-Hao and Miret, Santiago and Lemos, Pablo and Thiede, Luca and Yan, Zichao and Aspuru-Guzik, Al{\'a}n and Bengio, Yoshua},
  journal={Digital Discovery},
  publisher={Royal Society of Chemistry},
  year={2024}
}

@mastersthesis{dasilva2023revisitingflgfn,
  title={{Revisiting Forward-Looking GFlowNets}},
  author={Da Silva, Tiago},
  type={Bachelor's Thesis},
  school={Funda\c{c}\~{a}o Getulio Vargas},
  year={2023}
}

% 2022

@article{jain2022gfnbioseq,
  title={{Biological Sequence Design with GFlowNets}},
  author={Jain, Moksh and Bengio, Emmanuel and Hernandez-Garcia, Alex and Rector-Brooks, Jarrid and Dossou, Bonaventure F.P. and Ekbote, Chanakya and Fu, Jie and Zhang, Tianyu and Kilgour, Micheal and Zhang, Dinghuai and Simine, Lena and Das, Payel and Bengio, Yoshua},
  journal=icml,
  year={2022}
}

@article{zhang2022ebgfn,
  title={{Generative Flow Networks for Discrete Probabilistic Modeling}},
  author={Zhang, Dinghuai and Malkin, Nikolay and Liu, Zhen and Volokhova, Alexandra and Courville, Aaron and Bengio, Yoshua},
  journal=icml,
  year={2022},
}

@article{deleu2022daggflownet,
  title={{Bayesian Structure Learning with Generative Flow Networks}},
  author={Deleu, Tristan and G{\'o}is, Ant{\'o}nio and Emezue, Chris and Rankawat, Mansi and Lacoste-Julien, Simon and Bauer, Stefan and Bengio, Yoshua},
  journal=uai,
  year={2022}
}

@article{malkin2022trajectorybalance,
  title={{Trajectory Balance: Improved Credit Assignment in GFlowNets}},
  author={Malkin, Nikolay and Jain, Moksh and Bengio, Emmanuel and Sun, Chen and Bengio, Yoshua},
  journal=neurips,
  year={2022}
}

@article{zhang2022unifyinggfn,
  title={{Unifying Generative Models with GFlowNets and Beyond}},
  author={Zhang, Dinghuai and Chen, Ricky T. Q. and Malkin, Nikolay and Bengio, Yoshua},
  journal={Beyond Bayes Workshop (ICML)},
  year={2022}
}

@article{zimmermann2022vigfn,
  title={{A Variational Perspective on Generative Flow Networks}},
  author={Zimmermann, Heiko and Lindsten, Fredrik and van de Meent, Jan-Willem and Naesseth, Christian A.},
  journal=tmlr,
  year={2022}
}

@article{nica2022generalizationgfnmolecule,
  title={{Evaluating Generalization in GFlowNets for Molecule Design}},
  author={Nica, Andrei Cristian and Jain, Moksh and Bengio, Emmanuel and Liu, Cheng-Hao and Korablyov, Maksym and Bronstein, Michael M and Bengio, Yoshua},
  booktitle={Machine Learning for Drug Discovery Workshop (ICML)},
  year={2022}
}

% 2021

@article{bengio2021gflownet,
  title={{Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation}},
  author={Bengio, Emmanuel and Jain, Moksh and Korablyov, Maksym and Precup, Doina and Bengio, Yoshua},
  journal=neurips,
  year={2021}
}