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ORCIDJohan Bjorck
Person information
- affiliation (PhD 2021): Cornell University, Department of Computer Science, Ithaca, NY, USA
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Books and Theses
- 2021
[b1]Nils Johan Bertil Bjorck:
Matrix factorization and Deep Learning in Scientific Domains: Understanding When and Why It Works. Cornell University, USA, 2021
Journal Articles
- 2018
- [j1]Junwen Bai, Yexiang Xue, Johan Bjorck, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein
, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Phase Mapper: Accelerating Materials Discovery with AI. AI Mag. 39(1): 15-26 (2018)
Conference and Workshop Papers
- 2023
- [c15]Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei:
Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks. CVPR 2023: 19175-19186 - [c14]Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Nils Johan Bertil Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei:
Language Is Not All You Need: Aligning Perception with Language Models. NeurIPS 2023 - 2022
- [c13]Owais Khan Mohammed, Kriti Aggarwal, Qiang Liu, Saksham Singhal, Johan Bjorck, Subhojit Som:
Bootstrapping a high quality multilingual multimodal dataset for Bletchley. ACML 2022: 738-753 - [c12]Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger:
Is High Variance Unavoidable in RL? A Case Study in Continuous Control. ICLR 2022 - 2021
- [c11]Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes:
Characterizing the Loss Landscape in Non-Negative Matrix Factorization. AAAI 2021: 6768-6776 - [c10]Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes:
Understanding Decoupled and Early Weight Decay. AAAI 2021: 6777-6785 - [c9]Johan Bjorck, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes:
Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility. AAAI 2021: 14702-14710 - [c8]Johan Bjorck, Brendan H. Rappazzo, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes:
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing. AAAI 2021: 14711-14720 - [c7]Johan Björck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger:
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision. ICML 2021: 980-991 - [c6]Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger:
Towards Deeper Deep Reinforcement Learning with Spectral Normalization. NeurIPS 2021: 8242-8255 - 2019
- [c5]Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes:
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. AAAI 2019: 476-484 - 2018
- [c4]Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes:
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks. AAAI 2018: 748-756 - [c3]Johan Bjorck, Carla P. Gomes, Bart Selman, Kilian Q. Weinberger:
Understanding Batch Normalization. NeurIPS 2018: 7705-7716 - 2017
- [c2]Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. AAAI 2017: 4635-4643 - [c1]Junwen Bai, Johan Bjorck, Yexiang Xue, Santosh K. Suram, John M. Gregoire, Carla P. Gomes:
Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery. CPAIOR 2017: 104-112
Informal and Other Publications
- 2025
- [i13]Johan Bjorck, Fernando Castañeda, Nikita Cherniadev, Xingye Da, Runyu Ding, Linxi, Yu Fang, Dieter Fox, Fengyuan Hu, Spencer Huang, Joel Jang, Zhenyu Jiang, Jan Kautz, Kaushil Kundalia, Lawrence Lao, Zhiqi Li, Zongyu Lin, Kevin Lin, Guilin Liu, Edith LLontop, Loic Magne, Ajay Mandlekar, Avnish Narayan, Soroush Nasiriany, Scott Reed, You Liang Tan, Guanzhi Wang, Zu Wang, Jing Wang, Qi Wang, Jiannan Xiang, Yuqi Xie, Yinzhen Xu, Zhenjia Xu, Seonghyeon Ye, Zhiding Yu, Ao Zhang, Hao Zhang, Yizhou Zhao, Ruijie Zheng, Yuke Zhu:
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. CoRR abs/2503.14734 (2025) - 2024
- [i12]Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp A. Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - [i11]Johan Bjorck, Alon Benhaim, Vishrav Chaudhary, Furu Wei, Xia Song:
Scaling Optimal LR Across Token Horizon. CoRR abs/2409.19913 (2024) - 2023
- [i10]Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Johan Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei:
Language Is Not All You Need: Aligning Perception with Language Models. CoRR abs/2302.14045 (2023) - 2022
- [i9]Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei:
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks. CoRR abs/2208.10442 (2022) - 2021
- [i8]Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger:
Low-Precision Reinforcement Learning. CoRR abs/2102.13565 (2021) - [i7]Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger:
Towards Deeper Deep Reinforcement Learning. CoRR abs/2106.01151 (2021) - [i6]Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger:
Is High Variance Unavoidable in RL? A Case Study in Continuous Control. CoRR abs/2110.11222 (2021) - 2020
- [i5]Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes:
Understanding Decoupled and Early Weight Decay. CoRR abs/2012.13841 (2020) - 2019
- [i4]Johan Bjorck, Brendan Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes:
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. CoRR abs/1902.09069 (2019) - 2018
- [i3]Johan Bjorck, Carla P. Gomes, Bart Selman:
Understanding Batch Normalization. CoRR abs/1806.02375 (2018) - 2017
- [i2]Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes:
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network. CoRR abs/1711.06800 (2017) - 2016
- [i1]Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. CoRR abs/1610.00689 (2016)
Coauthor Index
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