Johan Bjorck

According to our database, Johan Bjorck authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Scaling Optimal LR Across Token Horizon.

Johan Bjorck, Alon Benhaim, Vishrav Chaudhary, Furu Wei, Xia Song

CoRR, 2024

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

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 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

CoRR, 2024

2023

Language Is Not All You Need: Aligning Perception with Language Models.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks.

Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.

Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei

CoRR, 2022

Is High Variance Unavoidable in RL? A Case Study in Continuous Control.

Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger

Proceedings of the Tenth International Conference on Learning Representations, 2022

Bootstrapping a high quality multilingual multimodal dataset for Bletchley.

Owais Khan Mohammed, Kriti Aggarwal, Qiang Liu, Saksham Singhal, Johan Bjorck, Subhojit Som

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Matrix factorization and Deep Learning in Scientific Domains: Understanding When and Why It Works.

Nils Johan Bertil Bjorck

PhD thesis, 2021

Towards Deeper Deep Reinforcement Learning.

Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger

CoRR, 2021

Low-Precision Reinforcement Learning.

Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger

CoRR, 2021

Towards Deeper Deep Reinforcement Learning with Spectral Normalization.

Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision.

Johan Björck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger

Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding Decoupled and Early Weight Decay.

Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility.

Johan Bjorck, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing.

Johan Bjorck, Brendan H. Rappazzo, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Characterizing the Loss Landscape in Non-Negative Matrix Factorization.

Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant.

Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Understanding Batch Normalization.

Johan Bjorck, Carla P. Gomes, Bart Selman

CoRR, 2018

Phase Mapper: Accelerating Materials Discovery with AI.

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

AI Mag., 2018

Understanding Batch Normalization.

Johan Bjorck, Carla P. Gomes, Bart Selman, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks.

Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network.

Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes

CoRR, 2017

Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery.

Junwen Bai, Johan Bjorck, Yexiang Xue, Santosh K. Suram, John M. Gregoire, Carla P. Gomes

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery.

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

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017