Publications

CoLM 2025

RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale

Daniel Goldstein, Eric Alcaide, Janna Lu, Eugene Cheah

CoLM 2025

RWKV-7 "Goose" with Expressive Dynamic State Evolution

Bo Peng, Daniel Goldstein, Eric Alcaide, et al.

ICLR 2026

Multiple Token Divergence: Measuring and Steering In-Context Computation Density

Vincent Herrmann*, Eric Alcaide*, Michael Wand, Jürgen Schmidhuber

CoLM 2024

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

RWKV Authors (incl. Eric Alcaide)

EMNLP 2023

RWKV: Reinventing RNNs for the Transformer Era

Bo Peng*, Eric Alcaide*, Quentin Anthony, et al.

NeurIPS 2023 Workshop

UMD-fit: Generating Realistic Ligand Conformations for Distance-Based Deep Docking Models

Eric Alcaide, et al.

Curr. Opin. Struct. Biol. 2023

Advancing Structural Biology through Breakthroughs in AI

Eric Alcaide, et al.

NeurIPS 2022 Workshop

InterDocker: End-to-End Cross-Attentive and Geometric Transformers for Efficient Iterative Protein Docking

Eric Alcaide, et al.

Rev. Esp. Cardiol. 2022

Relevance of Myocardial Injury Biomarkers to the Prognosis of COVID-19 Patients

Eric Alcaide, et al.

J. Comput. Chem. 2021

MP-NeRF: A Massively Parallel Method for Accelerating Protein Structure Reconstruction from Internal Coordinates

Eric Alcaide

Preprint 2018

E-swish: Adjusting Activations to Different Network Depths

Eric Alcaide