Learning to optimize halide with tree search and random programs von Adams, Andrew, Ma, Karima, Anderson, Luke, Baghdadi, Riyadh, Li, Tzu-Mao, Gharbi, Michaël, Steiner, Benoit, Johnson, Steven, Fatahalian, Kayvon, Durand, Frédo, Ragan-Kelley, Jonathan

Volltext

Local Branching Relaxation Heuristics for Integer Linear Programs von Huang, Taoan, Ferber, Aaron, Tian, Yuandong, Dilkina, Bistra, Steiner, Benoit

Volltext

Local Branching Relaxation Heuristics for Integer Linear Programs von Huang, Taoan, Ferber, Aaron, Tian, Yuandong, Dilkina, Bistra, Steiner, Benoit

Volltext

Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning von Huang, Taoan, Ferber, Aaron, Tian, Yuandong, Dilkina, Bistra, Steiner, Benoit

Volltext bestellen

OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks von Steiner, Benoit, Elhoushi, Mostafa, Kahn, Jacob, Hegarty, James

Volltext bestellen

Using Graph Neural Networks to model the performance of Deep Neural Networks von Singh, Shikhar, Steiner, Benoit, Hegarty, James, Leather, Hugh

Volltext bestellen

SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems von Ferber, Aaron, Huang, Taoan, Zha, Daochen, Schubert, Martin, Steiner, Benoit, Dilkina, Bistra, Tian, Yuandong

Volltext bestellen

Value Function Based Performance Optimization of Deep Learning Workloads von Steiner, Benoit, Cummins, Chris, He, Horace, Leather, Hugh

Volltext bestellen

LoopStack: a Lightweight Tensor Algebra Compiler Stack von Wasti, Bram, Cambronero, José Pablo, Steiner, Benoit, Leather, Hugh, Zlateski, Aleksandar

Volltext bestellen

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction von Liang, Youwei, Stone, Kevin, Shameli, Ali, Cummins, Chris, Elhoushi, Mostafa, Guo, Jiadong, Steiner, Benoit, Yang, Xiaomeng, Xie, Pengtao, Leather, Hugh, Tian, Yuandong

Volltext bestellen

Studying Large Language Model Generalization with Influence Functions von Grosse, Roger, Bae, Juhan, Anil, Cem, Elhage, Nelson, Tamkin, Alex, Tajdini, Amirhossein, Steiner, Benoit, Li, Dustin, Durmus, Esin, Perez, Ethan, Hubinger, Evan, Lukošiūtė, Kamilė, Nguyen, Karina, Joseph, Nicholas, McCandlish, Sam, Kaplan, Jared, Bowman, Samuel R

Volltext bestellen

Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning von Huang, Taoan, Ferber, Aaron, Tian, Yuandong, Dilkina, Bistra, Steiner, Benoit

Volltext

Learning Space Partitions for Path Planning von Yang, Kevin, Zhang, Tianjun, Cummins, Chris, Cui, Brandon, Steiner, Benoit, Wang, Linnan, Gonzalez, Joseph E, Klein, Dan, Tian, Yuandong

Volltext bestellen

OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks von Steiner, Benoit, Elhoushi, Mostafa, Kahn, Jacob, Hegarty, James

Volltext

Flashlight: Enabling Innovation in Tools for Machine Learning von Kahn, Jacob, Pratap, Vineel, Likhomanenko, Tatiana, Xu, Qiantong, Hannun, Awni, Cai, Jeff, Tomasello, Paden, Lee, Ann, Grave, Edouard, Avidov, Gilad, Steiner, Benoit, Liptchinsky, Vitaliy, Synnaeve, Gabriel, Collobert, Ronan

Volltext bestellen

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research von Cummins, Chris, Wasti, Bram, Guo, Jiadong, Cui, Brandon, Ansel, Jason, Gomez, Sahir, Jain, Somya, Liu, Jia, Teytaud, Olivier, Steiner, Benoit, Tian, Yuandong, Leather, Hugh

Volltext bestellen

Measuring Faithfulness in Chain-of-Thought Reasoning von Lanham, Tamera, Chen, Anna, Radhakrishnan, Ansh, Steiner, Benoit, Denison, Carson, Hernandez, Danny, Li, Dustin, Durmus, Esin, Hubinger, Evan, Kernion, Jackson, Lukošiūtė, Kamilė, Nguyen, Karina, Cheng, Newton, Joseph, Nicholas, Schiefer, Nicholas, Rausch, Oliver, Larson, Robin, McCandlish, Sam, Kundu, Sandipan, Kadavath, Saurav, Yang, Shannon, Henighan, Thomas, Maxwell, Timothy, Telleen-Lawton, Timothy, Hume, Tristan, Hatfield-Dodds, Zac, Kaplan, Jared, Brauner, Jan, Bowman, Samuel R, Perez, Ethan

Volltext bestellen

SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems von Ferber, Aaron, Huang, Taoan, Zha, Daochen, Schubert, Martin, Steiner, Benoit, Dilkina, Bistra, Tian, Yuandong

Volltext

Using Graph Neural Networks to model the performance of Deep Neural Networks von Singh, Shikhar, Steiner, Benoit, Hegarty, James, Leather, Hugh

Volltext

HIERARCHICAL DEVICE PLACEMENT WITH REINFORCEMENT LEARNING von MIRHOSEINI, Azalia, STEINER, Benoit, GOLDIE, Anna Darling, PHAM, Hieu Hy, DEAN, Jeffrey Adgate, LE, Quoc V

Volltext bestellen