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Contributed talk 4: Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
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Aditya Grover (Stanford University)
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2021 : Scalable Variational Approaches for Bayesian Causal Discovery »
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2021 : Cundy, Grover, Ermon - BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery »
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2021 Poster: Decision Transformer: Reinforcement Learning via Sequence Modeling »
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2020 : Contributed Talk: Reset-Free Lifelong Learning with Skill-Space Planning »
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2019 : Poster session »
Jindong Gu · Alice Xiang · Atoosa Kasirzadeh · Zhiwei Han · Omar U. Florez · Frederik Harder · An-phi Nguyen · Amir Hossein Akhavan Rahnama · Michele Donini · Dylan Slack · Junaid Ali · Paramita Koley · Michiel Bakker · Anna Hilgard · Hailey James · Gonzalo Ramos · Jialin Lu · Jingying Yang · Margarita Boyarskaya · Martin Pawelczyk · Kacper Sokol · Mimansa Jaiswal · Umang Bhatt · David Alvarez-Melis · Aditya Grover · Charles Marx · Mengjiao (Sherry) Yang · Jingyan Wang · Gökhan Çapan · Hanchen Wang · Steffen Grünewälder · Moein Khajehnejad · Gourab Patro · Russell Kunes · Samuel Deng · Yuanting Liu · Luca Oneto · Mengze Li · Thomas Weber · Stefan Matthes · Duy Patrick Tu -
2019 Poster: Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting »
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2018 : Panel »
Paroma Varma · Aditya Grover · Will Hamilton · Jessica Hamrick · Thomas Kipf · Marinka Zitnik -
2018 Workshop: Relational Representation Learning »
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2018 Poster: Streamlining Variational Inference for Constraint Satisfaction Problems »
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2017 : Posters »
Reihaneh Rabbany · Tianxi Li · Jacob Carroll · Yin Cheng Ng · Xueyu Mao · Alexandre Hollocou · Jeric Briones · James Atwood · John Santerre · Natalie Klein · Pranamesh Chakraborty · Zahra Razaee · Chandan Singh · Arun Suggala · Beilun Wang · Andrew R. Lawrence · Aditya Grover · FARSHAD HARIRCHI · radhika arava · Qing Zhou · Takatomi Kubo · Josue Orellana · Govinda Kamath · Vivek Kumar Bagaria -
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