Eric Alcaide

13 papers Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multiple Token Divergence: Measuring and Steering In-Context Computation Density.
CoRR
Vincent Herrmann, Eric Alcaide, Michael Wand, Jürgen Schmidhuber
2025 J jnl
RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale.
CoRR
Daniel Goldstein, Eric Alcaide, Janna Lu, Eugene Cheah
2025 J jnl
RWKV-7 "Goose" with Expressive Dynamic State Evolution.
CoRR
Bo Peng, Ruichong Zhang, Daniel Goldstein, Eric Alcaide, Xingjian Du, Haowen Hou, Jiaju Lin, Jiaxing Liu, Janna Lu, William Merrill, Guangyu Song, Kaifeng Tan, Saiteja Utpala, Nathan Wilce, Johan S. Wind, Tianyi Wu, Daniel Wuttke, Christian Zhou-Zheng
2025 — conf
Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction.
ICANN (5)
Eric Alcaide, Zhifeng Gao, Guolin Ke, Yaqi Li, Linfeng Zhang, Hang Zheng, Gengmo Zhou
2024 J jnl
Accurate Conformation Sampling via Protein Structural Diffusion.
J. Chem. Inf. Model.
Jiahao Fan, Ziyao Li, Eric Alcaide, Guolin Ke, Huaqing Huang, Weinan E
2024 J jnl
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.
CoRR
Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu
2024 J jnl
GoldFinch: High Performance RWKV/Transformer Hybrid with Linear Pre-Fill and Extreme KV-Cache Compression.
CoRR
Daniel Goldstein, Fares Obeid, Eric Alcaide, Guangyu Song, Eugene Cheah
2024 J jnl
Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction.
CoRR
Eric Alcaide, Zhifeng Gao, Guolin Ke, Yaqi Li, Linfeng Zhang, Hang Zheng, Gengmo Zhou
2023 — conf
RWKV: Reinventing RNNs for the Transformer Era.
EMNLP (Findings)
Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu
2023 J jnl
RWKV: Reinventing RNNs for the Transformer Era.
CoRR
Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran G. V., Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Xiangru Tang, Bolun Wang, Johan S. Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu
2022 J jnl
Experience report on the application of genetic algorithms to reduce costs of the software validation process in the automotive sector during an engine control unit project.
Softw. Qual. J.
Pedro Miguel Ortega-Cabezas, Antonio Colmenar-Santos, David Borge Diez, Jorge Juan Blanes-Peiró, Jorge Higuera-Pérez, Eric Alcaide
2022 J jnl
MP-NeRF: A massively parallel method for accelerating protein structure reconstruction from internal coordinates.
J. Comput. Chem.
Eric Alcaide, Stella Biderman, Amalio Telenti, M. Cyrus Maher
2018 J jnl
E-swish: Adjusting Activations to Different Network Depths.
CoRR
Eric Alcaide