Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

8 June 2021

Moksh Jain

Papers citing "Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation"

23 / 223 papers shown

Title
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 226 1,314 0 02 Sep 2022
Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype via Terrain Authoring and Active Learning Chong Zhang Lizhi Yang 32 3 0 16 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 55 374 0 05 Aug 2022
Latent Variable Models for Bayesian Causal Discovery Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML BDL 36 1 0 12 Jul 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery Matteo Manica Jannis Born Joris Cadow Dimitrios Christofidellis A. Dave ... Lauren N. McHugh Alexy Khrabrov Payel Das Seiji Takeda John Smith 22 26 0 08 Jul 2022
A Bird's-Eye Tutorial of Graph Attention Architectures Kaustubh D. Dhole Carl Yang 34 1 0 06 Jun 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation Seul Lee Jaehyeong Jo Sung Ju Hwang OODD 37 75 0 06 Jun 2022
DevFormer: A Symmetric Transformer for Context-Aware Device Placement Haeyeon Kim Minsu Kim Federico Berto Joungho Kim Jinkyoo Park 62 15 0 26 May 2022
Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication Christo Kurisummoottil Thomas Walid Saad 45 19 0 22 May 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 48 145 0 28 Feb 2022
Molecule Generation for Drug Design: a Graph Learning Perspective Nianzu Yang Huaijin Wu Xiaoyong Pan Ye Yuan Junchi Yan 28 13 0 18 Feb 2022
Estimating the Euclidean quantum propagator with deep generative modeling of Feynman paths Yanming Che C. Gneiting Franco Nori 37 6 0 06 Feb 2022
Generative Flow Networks for Discrete Probabilistic Modeling Dinghuai Zhang Nikolay Malkin Zichen Liu Alexandra Volokhova Aaron Courville Yoshua Bengio 27 103 0 03 Feb 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 169 0 31 Jan 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 41 7 0 21 Jan 2022
GFlowNet Foundations Yoshua Bengio Salem Lahlou T. Deleu J. E. Hu Mo Tiwari Emmanuel Bengio 24 214 0 17 Nov 2021
A Dataset Perspective on Offline Reinforcement Learning Kajetan Schweighofer Andreas Radler Marius-Constantin Dinu M. Hofmarcher Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter OffRL 30 17 0 08 Nov 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner T. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 33 54 0 28 Oct 2021
Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features Shanchao Yang Kaili Ma Baoxiang Wang Tianshu Yu H. Zha AAML 33 0 0 18 Oct 2021
Multiresolution Equivariant Graph Variational Autoencoder Truong-Son Hy Risi Kondor 16 18 0 02 Jun 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 212 81 0 16 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 185 188 0 01 Feb 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 242 1,340 0 12 Feb 2018