Andrei Ivanov - RankMe

21 papers A* 1A 4Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Universe in the Trap: the Hénon-Heiles Astrophysics Model for the Dynamics in Ion Traps with Inhomogeneity. Int. J. Bifurc. Chaos Semyon Rudyi, Dmitrii Shcherbinin, Andrei Ivanov
2025	A	`conf`	PerfDojo: Automated ML Library Generation for Heterogeneous Architectures. SC Andrei Ivanov, Siyuan Shen, Gioele Gottardo, Marcin Chrapek, Afif Boudaoud, Timo Schneider, Luca Benini, Torsten Hoefler
2025	J	`jnl`	PerfDojo: Automated ML Library Generation for Heterogeneous Architectures. CoRR Andrei Ivanov, Siyuan Shen, Gioele Gottardo, Marcin Chrapek, Afif Boudaoud, Timo Schneider, Luca Benini, Torsten Hoefler
2024	A*	`conf`	TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization. AAAI Andrei Ivanov, Stefan Maria Ailuro
2023	J	`jnl`	Cached Operator Reordering: A Unified View for Fast GNN Training. CoRR Julia Bazinska, Andrei Ivanov, Tal Ben-Nun, Nikoli Dryden, Maciej Besta, Siyuan Shen, Torsten Hoefler
2023	—	`conf`	SAGE: Software-based Attestation for GPU Execution. USENIX ATC Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
2023	J	`jnl`	STen: Productive and Efficient Sparsity in PyTorch. CoRR Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Saleh Ashkboos, Torsten Hoefler
2023	J	`jnl`	TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization. CoRR Andrei Ivanov, Stefan Maria Ailuro
2023	A	`conf`	VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores. SC Roberto L. Castro, Andrei Ivanov, Diego Andrade, Tal Ben-Nun, Basilio B. Fraguela, Torsten Hoefler
2023	J	`jnl`	VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores. CoRR Roberto L. Castro, Andrei Ivanov, Diego Andrade, Tal Ben-Nun, Basilio B. Fraguela, Torsten Hoefler
2022	A	`conf`	A data-centric optimization framework for machine learning. ICS Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler
2022	J	`jnl`	SAGE: Software-based Attestation for GPU Execution. CoRR Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
2021	J	`jnl`	A Data-Centric Optimization Framework for Machine Learning. CoRR Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler
2021	—	`conf`	Data Movement Is All You Need: A Case Study on Optimizing Transformers. MLSys Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Shigang Li, Torsten Hoefler
2020	J	`jnl`	Data Movement Is All You Need: A Case Study on Optimizing Transformers. CoRR Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Shigang Li, Torsten Hoefler
2020	J	`jnl`	Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators. CoRR Andrei Ivanov, Ilya Agapov
2020	J	`jnl`	Physics-based polynomial neural networks for one-shot learning of dynamical systems from one or a few samples. CoRR Andrei Ivanov, Uwe Iben, Anna Golovkina
2020	A	`conf`	Polynomial Neural Networks and Taylor Maps for Dynamical Systems Simulation and Learning. ECAI Andrei Ivanov, Anna Golovkina, Uwe Iben
2019	J	`jnl`	Matrix Lie Maps and Neural Networks for Solving Differential Equations. CoRR Andrei Ivanov, Sergei Andrianov
2019	J	`jnl`	Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning. CoRR Andrei Ivanov, Anna Golovkina, Uwe Iben
2018	J	`jnl`	Lie Transform Based Polynomial Neural Networks for Dynamical Systems Simulation and Identification. CoRR Andrei Ivanov, Sergei Andrianov, Alena Sholokhova