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Patrik Okanovic
Observed name:
Okanovic, Patrik
Institution:
ETH Zurich
Observed institution:
ETH Zurich
OpenAlex ID:
A5007711261
High Performance Unstructured SpMM Computation Using Tensor Cores
2024
·
Patrik Okanovic
, Grzegorz Kwasniewski
, et al.
·
International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
·
24
PDF
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
2023
·
Okanovic, Patrik
, Waleffe, Roger
, et al.
·
arXiv (Cornell University)
·
18
PDF
BLaST: High Performance Inference and Pretraining using BLock Sparse Transformers
2025
·
Okanovic, Patrik
, Deshmukh, Sameer
, et al.
·
arXiv (Cornell University)
·
6
PDF
Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
2025
·
Plecko, Drago
, Okanovic, Patrik
, et al.
·
arXiv (Cornell University)
·
4
PDF
All models are wrong, some are useful: Model Selection with Limited Labels
2024
·
Okanovic, Patrik
, Kirsch, Andreas
, et al.
·
arXiv (Cornell University)
·
3
PDF
When Data Is Scarce: Scaling Sparse Language Models with Repeated Training
2026
·
Wu, Boqian
, Xiao, Qiao
, et al.
·
arXiv (Cornell University)
·
2
PDF
Gated Domain Units for Multi-source Domain Generalization
2022
·
Föll, Simon
, Dubatovka, Alina
, et al.
·
arXiv (Cornell University)
·
2
PDF
Large Language Model Selection with Limited Annotations
2025
·
Durmazkeser, Yavuz
, Okanovic, Patrik
, et al.
·
arXiv (Cornell University)
·
1
PDF
RPEG: Training Reasoning Language Models Scalably and Cost-Effectively
2026
·
Besta, Maciej
, Schmidt, Leonard
, et al.
·
arXiv (Cornell University)
PDF
Causally Fair Generation with Large Language Models
2026
·
Okanovic, Patrik
, Hoefler, Torsten
, et al.
·
arXiv (Cornell University)
PDF
Which LLM to pick? Online Active Model Selection for Large Language Models
2026
·
Turrin, Alessandro
, Okanovic, Patrik
, et al.
·
arXiv (Cornell University)
PDF
Performance Foundations of Parallel & Distributed Reasoning Language Models
2026
·
Besta, Maciej
, Schmidt, Leonard
, et al.
·
arXiv (Cornell University)
PDF
Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling
2026
·
Xiao, Qiao
, Wu, Boqian
, et al.
·
arXiv (Cornell University)
PDF
Confounder Detection via Treatment Intent: A New Observational Study Design
2026
·
Plecko, Drago
, Okanovic, Patrik
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
18
Citation count:
60
H-index:
4
I10-index:
2
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