Eldar Kurtic - RankMe

35 papers A* 10Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization. ACL (1) Eldar Kurtic, Alexandre Noll Marques, Shubhra Pandit, Mark Kurtz, Dan Alistarh
2025	J	`jnl`	Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization. CoRR Vage Egiazarian, Roberto L. Castro, Denis Kuznedelev, Andrei Panferov, Eldar Kurtic, Shubhra Pandit, Alexandre Noll Marques, Mark Kurtz, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh
2025	J	`jnl`	DarwinLM: Evolutionary Structured Pruning of Large Language Models. CoRR Shengkun Tang, Oliver Sieberling, Eldar Kurtic, Zhiqiang Shen, Dan Alistarh
2025	A*	`conf`	EvoPress: Accurate Dynamic Model Compression via Evolutionary Search. ICML Oliver Sieberling, Denis Kuznedelev, Eldar Kurtic, Dan Alistarh
2025	J	`jnl`	Good Practices for Institutional Organization of Research Institutes: Excellence in Research and Positive Impact on Society. CoRR Zlatan Ajanovic, Hamza Merzic, Suad Krilasevic, Eldar Kurtic, Bakir Kudic, Rialda Spahic, Emina Alickovic, Aida Brankovic, Kenan Sehic, Mirsad Cosovic, Admir Greljo, Sead Delalic, Adnan Mehonic
2025	J	`jnl`	TACO Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression. Trans. Mach. Learn. Res. Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh, Elias Frantar, Sara Beery, Eldar Kurtic, Dan Alistarh
2024	J	`jnl`	"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization. CoRR Eldar Kurtic, Alexandre Noll Marques, Shubhra Pandit, Mark Kurtz, Dan Alistarh
2024	J	`jnl`	Accurate Neural Network Pruning Requires Rethinking Sparse Optimization. Trans. Mach. Learn. Res. Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh
2024	J	`jnl`	Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. CoRR Abhinav Agarwalla, Abhay Gupta, Alexandre Noll Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz
2024	A*	`conf`	Error Feedback Can Accurately Compress Preconditioners. ICML Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic, Elias Frantar, Dan Alistarh
2024	J	`jnl`	EvoPress: Towards Optimal Dynamic Model Compression via Evolutionary Search. CoRR Oliver Sieberling, Denis Kuznedelev, Eldar Kurtic, Dan Alistarh
2024	—	`conf`	How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry" Benchmark. CPAL Eldar Kurtic, Torsten Hoefler, Dan Alistarh
2024	A*	`conf`	Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models. EMNLP Eldar Kurtic, Amir Moeini, Dan Alistarh
2024	J	`jnl`	Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models. CoRR Eldar Kurtic, Amir Moeini, Dan Alistarh
2024	A*	`conf`	MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence. NeurIPS Ionut-Vlad Modoranu, Mher Safaryan, Grigory Malinovsky, Eldar Kurtic, Thomas Robert, Peter Richtárik, Dan Alistarh
2024	J	`jnl`	MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence. CoRR Ionut-Vlad Modoranu, Mher Safaryan, Grigory Malinovsky, Eldar Kurtic, Thomas Robert, Peter Richtárik, Dan Alistarh
2024	J	`jnl`	Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning. CoRR Armand Nicolicioiu, Eugenia Iofinova, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir Shavit, Dan Alistarh
2023	J	`jnl`	Accurate Neural Network Pruning Requires Rethinking Sparse Optimization. CoRR Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh
2023	A*	`conf`	CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models. NeurIPS Denis Kuznedelev, Eldar Kurtic, Elias Frantar, Dan Alistarh
2023	A*	`conf`	CrAM: A Compression-Aware Minimizer. ICLR Alexandra Peste, Adrian Vladu, Eldar Kurtic, Christoph H. Lampert, Dan Alistarh
2023	J	`jnl`	Error Feedback Can Accurately Compress Preconditioners. CoRR Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic, Dan Alistarh
2023	J	`jnl`	How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry" Benchmark. CoRR Eldar Kurtic, Torsten Hoefler, Dan Alistarh
2023	J	`jnl`	Sparse Fine-tuning for Inference Acceleration of Large Language Models. CoRR Eldar Kurtic, Denis Kuznedelev, Elias Frantar, Michael Goin, Dan Alistarh
2023	A*	`conf`	SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge. ICML Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh
2023	J	`jnl`	SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks. CoRR Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh
2023	J	`jnl`	Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression. CoRR Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh, Elias Frantar, Sara Beery, Eldar Kurtic, Dan Alistarh
2023	J	`jnl`	ZipLM: Hardware-Aware Structured Pruning of Language Models. CoRR Eldar Kurtic, Elias Frantar, Dan Alistarh
2023	A*	`conf`	ZipLM: Inference-Aware Structured Pruning of Language Models. NeurIPS Eldar Kurtic, Elias Frantar, Dan Alistarh
2022	J	`jnl`	GMP*: Well-Tuned Global Magnitude Pruning Can Outperform Most BERT-Pruning Methods. CoRR Eldar Kurtic, Dan Alistarh
2022	A*	`conf`	The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models. EMNLP Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh
2022	J	`jnl`	The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models. CoRR Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh
2022	J	`jnl`	Vision for Bosnia and Herzegovina in Artificial Intelligence Age: Global Trends, Potential Opportunities, Selected Use-cases and Realistic Goals. CoRR Zlatan Ajanovic, Emina Alickovic, Aida Brankovic, Sead Delalic, Eldar Kurtic, Salem Malikic, Adnan Mehonic, Hamza Merzic, Kenan Sehic, Bahrudin Trbalic
2022	J	`jnl`	oViT: An Accurate Second-Order Pruning Framework for Vision Transformers. CoRR Denis Kuznedelev, Eldar Kurtic, Elias Frantar, Dan Alistarh
2021	J	`jnl`	Efficient Matrix-Free Approximations of Second-Order Information, with Applications to Pruning and Optimization. CoRR Elias Frantar, Eldar Kurtic, Dan Alistarh
2021	A*	`conf`	M-FAC: Efficient Matrix-Free Approximations of Second-Order Information. NeurIPS Elias Frantar, Eldar Kurtic, Dan Alistarh