Schultheis, Erik
- Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
2025/04/08 by Rodionov, Gleb, Garipov, Roman, Shutova, Alina +6 · 11 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Fast gradient-free optimization of excitations in variational quantum eigensolvers
2024/09/09 by Jonas Jäger, Thierry N. Kaldenbach, Jäger, Jonas +4 · 2 citations
Computer Science · #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
- Consistent algorithms for multi-label classification with macro-at-k metrics
2024/01/29 by Erik Schultheis, Wojciech Kotłowski, Schultheis, Erik +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies
- A General Online Algorithm for Optimizing Complex Performance Metrics
2024/06/20 by Wojciech Kotłowski, Marek Wydmuch, Kotłowski, Wojciech +7 · 1 citation
Computer Science · #Cloud Computing and Resource Management #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
2024/11/06 by Ullah, Nasib, Schultheis, Erik, Zhang, Jinbin +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
2022/10/29 by Siddhant Kharbanda, Kharbanda, Siddhant, Atmadeep Banerjee +5 · 1 citation
Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies