Erik Schultheis
Scholar

Erik Schultheis

Google Scholar ID: MGxmO7EAAAAJ
PhD Candidate, Aalto University
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Citations & Impact
All-time
Citations
214
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
9
list available
Publications
10 items
Q-PACE: Dynamic Precision Allocation for Quantization-Aware Training
2026
Cited
0
HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
2026
Cited
0
Grid Games: The Power of Multiple Grids for Quantizing Large Language Models
2026
Cited
0
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers
2026
Cited
0
Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation
2026
Cited
0
LLMQ: Efficient Lower-Precision Pretraining for Consumer GPUs
2025
Cited
0
ELMO: Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
2025
Cited
0
DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language Models
2025
Cited
0
Co-authors
6 total
Rohit Babbar
Rohit Babbar
University of Bath, UK
Marek Wydmuch
Marek Wydmuch
Poznan University of Technology
Krzysztof Dembczyński
Krzysztof Dembczyński
Poznan University of Technology
Siddhant Kharbanda
Siddhant Kharbanda
Inception AI, UCLA
Priyanshu Gupta
Priyanshu Gupta
Researcher at Microsoft
Wojciech Kotłowski
Wojciech Kotłowski
Poznan University of Technology