Ilya Loshchilov

45 papers A* 2A 6B 1C 2Journal 20Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	nGPT: Normalized Transformer with Representation Learning on the Hypersphere. ICLR Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg
2024	J	`jnl`	nGPT: Normalized Transformer with Representation Learning on the Hypersphere. CoRR Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg
2023	J	`jnl`	Weight Norm Control. CoRR Ilya Loshchilov
2019	—	`conf`	Decoupled Weight Decay Regularization. ICLR (Poster) Ilya Loshchilov, Frank Hutter
2019	J	`jnl`	Large Scale Black-Box Optimization by Limited-Memory Matrix Adaptation. IEEE Trans. Evol. Comput. Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer
2018	A*	`conf`	Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. IJCAI Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter
2018	J	`jnl`	Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. CoRR Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter
2018	—	`conf`	Summary of evolutionary computation for wind farm layout optimization. GECCO (Companion) Dennis G. Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo López Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender Özcan, Sergio Ivvan Valdez Peña, Brian Goldman, Salvador Botello Rionda, Arturo Hernández Aguirre, Kalyan Veeramachaneni, Sylvain Cussat-Blanc
2017	J	`jnl`	A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets. CoRR Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter
2017	J	`jnl`	Fixing Weight Decay Regularization in Adam. CoRR Ilya Loshchilov, Frank Hutter
2017	J	`jnl`	LM-CMA: An Alternative to L-BFGS for Large-Scale Black Box Optimization. Evol. Comput. Ilya Loshchilov
2017	J	`jnl`	Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization. CoRR Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer
2017	—	`conf`	SGDR: Stochastic Gradient Descent with Warm Restarts. ICLR (Poster) Ilya Loshchilov, Frank Hutter
2016	—	`conf`	Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). GECCO (Companion) Ilya Loshchilov, Tobias Glasmachers
2016	J	`jnl`	Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). CoRR Ilya Loshchilov, Tobias Glasmachers
2016	J	`jnl`	CMA-ES for Hyperparameter Optimization of Deep Neural Networks. CoRR Ilya Loshchilov, Frank Hutter
2016	J	`jnl`	SGDR: Stochastic Gradient Descent with Restarts. CoRR Ilya Loshchilov, Frank Hutter
2015	J	`jnl`	LM-CMA: an Alternative to L-BFGS for Large Scale Black-box Optimization. CoRR Ilya Loshchilov
2015	J	`jnl`	Online Batch Selection for Faster Training of Neural Networks. CoRR Ilya Loshchilov, Frank Hutter
2014	J	`jnl`	A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization. CoRR Ilya Loshchilov
2014	A	`conf`	A computationally efficient limited memory CMA-ES for large scale optimization. GECCO Ilya Loshchilov
2014	A	`conf`	Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES. PPSN Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
2014	J	`jnl`	Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES. CoRR Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
2014	C	`conf`	RoboGen: Robot Generation through Artificial Evolution. ALIFE Joshua Evan Auerbach, Deniz Aydin, Andrea Maesani, Przemyslaw Kornatowski, Titus Cieslewski, Gregoire Heitz, Pradeep Fernando, Ilya Loshchilov, Ludovic Daler, Dario Floreano
2013	—	`conf`	Bi-population CMA-ES agorithms with surrogate models and line searches. GECCO (Companion) Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2013	B	`conf`	CMA-ES with restarts for solving CEC 2013 benchmark problems. IEEE Congress on Evolutionary Computation Ilya Loshchilov
2013	—	`conf`	Fast Adaptive Object Detection towards a Smart Environment by a Mobile Robot. AmI Shigeru Takano, Ilya Loshchilov, David Meunier, Michèle Sebag, Einoshin Suzuki
2013	A	`conf`	Intensive surrogate model exploitation in self-adaptive surrogate-assisted cma-es (saacm-es). GECCO Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2013	J	`jnl`	KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization. CoRR Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2013	—	`—`	Surrogate-Assisted Evolutionary Algorithms. Ilya Loshchilov
2012	J	`jnl`	Alternative Restart Strategies for CMA-ES CoRR Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2012	—	`conf`	Alternative Restart Strategies for CMA-ES. PPSN (1) Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2012	J	`jnl`	Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed CoRR Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2012	—	`conf`	Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed. GECCO (Companion) Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2012	J	`jnl`	Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed CoRR Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2012	—	`conf`	Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed. GECCO (Companion) Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2012	—	`conf`	Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbed. GECCO (Companion) Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2012	J	`jnl`	Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy CoRR Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2012	A	`conf`	Self-adaptive surrogate-assisted covariance matrix adaptation evolution strategy. GECCO Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2011	A	`conf`	Adaptive coordinate descent. GECCO Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2011	C	`conf`	Not All Parents Are Equal for MO-CMA-ES. EMO Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2010	A	`conf`	A mono surrogate for multiobjective optimization. GECCO Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2010	—	`conf`	A pareto-compliant surrogate approach for multiobjective optimization. GECCO (Companion) Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2010	—	`conf`	Comparison-Based Optimizers Need Comparison-Based Surrogates. PPSN (1) Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
2010	—	`conf`	Dominance-Based Pareto-Surrogate for Multi-Objective Optimization. SEAL Ilya Loshchilov, Marc Schoenauer, Michèle Sebag