More from the Same Authors

• 2020 : Combinatorial 3D Shape Generation via Sequential Assembly »
  Jungtaek Kim · Hyunsoo Chung · Jinhwi Lee · Minsu Cho · Jaesik Park
• 2020 : Session A, Poster 2: Neural Large Neighborhood Search »
  Ravichandra Addanki
• 2020 : Session A, Poster 8: K-Plex Cover Pooling For Graph Neural Networks »
  Francesco Landolfi
• 2020 : Session A, Poster 11: Investment Vs. Reward In A Competitive Knapsack Problem »
  Claudius Gros
• 2020 : Session A, Poster 1: Learning Elimination Ordering For Tree Decomposition Problem »
  Taras Khakhulin
• 2020 : Session B, Poster 2: Neural Large Neighborhood Search »
  Ravichandra Addanki
• 2020 : Session A, Poster 5: Fragment Relation Networks For Geometric Shape Assembly »
  Jinhwi Lee
• 2020 : Session A, Poster 5: Fragment Relation Networks For Geometric Shape Assembly »
  Jungtaek Kim
• 2020 : Session A, Poster 6: Structure And Randomness In Planning And Reinforcement Learning »
  Piotr Januszewski
• 2020 : Session A, Poster 7: Trust, But Verify: Model-Based Exploration In Sparse Reward Environments »
  Konrad Czechowski
• 2020 : Session A, Poster 21: Towards Transferring Algorithm Configurations Across Problems »
  Alberto Franzin
• 2020 : Session B, Poster 8: K-Plex Cover Pooling For Graph Neural Networks »
  Francesco Landolfi
• 2020 : Session A, Poster 9: A Step Towards Neural Genome Assembly »
  Lovro Vrček
• 2020 : Session A, Poster 11: Investment Vs. Reward In A Competitive Knapsack Problem »
  Oren Neumann
• 2020 : Session B, Poster 11: Investment Vs. Reward In A Competitive Knapsack Problem »
  Claudius Gros
• 2020 : Session A, Poster 13: Neural-Driven Multi-Criteria Tree Search For Paraphrase Generation »
  Betty Fabre
• 2020 : Session A, Poster 16: Learning Lower Bounds For Graph Exploration With Reinforcement Learning »
  Lukas Faber
• 2020 : Session A, Poster 17: Wasserstein Learning Of Determinantal Point Processes »
  Lucas Anquetil
• 2020 : Session B, Poster 21: Towards Transferring Algorithm Configurations Across Problems »
  Alberto Franzin
• 2020 : Session A, Poster 27: A Seq2Seq Approach To Symbolic Regression »
  Tommaso Bendinelli
• 2020 : Session A, Poster 31: Continuous Latent Search For Combinatorial Optimization »
  Sergey Bartunov
• 2021 Spotlight: DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks »
  Pál András Papp · Karolis Martinkus · Lukas Faber · Roger Wattenhofer
• 2021 : Continuous Control With Ensemble Deep Deterministic Policy Gradients »
  Piotr Januszewski · Mateusz Olko · Michał Królikowski · Jakub Swiatkowski · Marcin Andrychowicz · Łukasz Kuciński · Piotr Miłoś
• 2022 : Privileged Deep Symbolic Regression »
  Luca Biggio · Tommaso Bendinelli · Pierre-alexandre Kamienny
• 2022 : Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search »
  Michał Zawalski · Michał Tyrolski · Konrad Czechowski · Damian Stachura · Piotr Piękos · Tomasz Odrzygóźdź · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś
• 2022 : Scaling Laws for a Multi-Agent Reinforcement Learning Model »
  Oren Neumann · Claudius Gros
• 2022 Poster: Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers »
  Albert Qiaochu Jiang · Wenda Li · Szymon Tworkowski · Konrad Czechowski · Tomasz Odrzygóźdź · Piotr Miłoś · Yuhuai Wu · Mateja Jamnik
• 2021 Poster: DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks »
  Pál András Papp · Karolis Martinkus · Lukas Faber · Roger Wattenhofer
• 2021 Poster: Subgoal Search For Complex Reasoning Tasks »
  Konrad Czechowski · Tomasz Odrzygóźdź · Marek Zbysiński · Michał Zawalski · Krzysztof Olejnik · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś
• 2021 Poster: Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning »
  Hyunsoo Chung · Jungtaek Kim · Boris Knyazev · Jinhwi Lee · Graham Taylor · Jaesik Park · Minsu Cho
• 2021 Poster: Computer-Aided Design as Language »
  Yaroslav Ganin · Sergey Bartunov · Yujia Li · Ethan Keller · Stefano Saliceti
• 2020 : Poster Session B »
  Ravichandra Addanki · Andreea-Ioana Deac · Yujia Xie · Francesco Landolfi · Antoine Prouvost · Claudius Gros · Renzo Massobrio · Abhishek Cauligi · Simon Alford · Hanjun Dai · Alberto Franzin · Nitish Kumar Panigrahy · Brandon Kates · Iddo Drori · Taoan Huang · Zhou Zhou · Marin Vlastelica · Anselm Paulus · Aaron Zweig · Minsu Cho · Haiyan Yin · Michal Lisicki · Nan Jiang · Haoran Sun
• 2020 Poster: Bootstrapping neural processes »
  Juho Lee · Yoonho Lee · Jungtaek Kim · Eunho Yang · Sung Ju Hwang · Yee Whye Teh
• 2019 Poster: Park: An Open Platform for Learning-Augmented Computer Systems »
  Hongzi Mao · Parimarjan Negi · Akshay Narayan · Hanrui Wang · Jiacheng Yang · Haonan Wang · Ryan Marcus · Ravichandra Addanki · Mehrdad Khani Shirkoohi · Songtao He · Vikram Nathan · Frank Cangialosi · Shaileshh Venkatakrishnan · Wei-Hung Weng · Song Han · Tim Kraska · Dr.Mohammad Alizadeh
• 2019 Poster: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning »
  Ravichandra Addanki · Shaileshh Bojja Venkatakrishnan · Shreyan Gupta · Hongzi Mao · Mohammad Alizadeh
• 2018 : Poster Session (All Posters) »
  Artemiy Margaritov · Ravichandra Addanki · Hamidreza Mahyar · GUO ZHANG · avani wildani · Hadi Esmaeilzadeh · Dmitrii Ustiugov · Shaileshh Bojja Venkatakrishnan · Fabian Ruffy Varga · adit bhardwaj · Tatiana Shpeisman
• 2018 Poster: Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures »
  Sergey Bartunov · Adam Santoro · Blake Richards · Luke Marris · Geoffrey E Hinton · Timothy Lillicrap