A free-space adaptive FMM-Based PDE solver in three dimensions von Langston, Harper, Greengard, Leslie, Zorin, Denis

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Low-Frequency Electromagnetic Imaging Using Sensitivity Functions and Beamforming von Letourneau, Pierre-David, Harris, Mitchell Tong, Langston, Matthew Harper, Papanicolaou, George

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On the Bottleneck Structure of Congestion-Controlled Networks von Ros-Giralt, Jordi, Bohara, Atul, Yellamraju, Sruthi, Langston, M. Harper, Lethin, Richard, Jiang, Yuang, Tassiulas, Leandros, Li, Josie, Tan, Yuanlong, Veeraraghavan, Malathi

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On the Bottleneck Structure of Congestion-Controlled Networks von Ros-Giralt, Jordi, Bohara, Atul, Yellamraju, Sruthi, Langston, Harper, Jiang, Yuang, Tassiulas, Leandros, Li, Josie, Tan, Yuanlong, Veeraraghavan, Malathi

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An Efficient Framework for Global Non-Convex Polynomial Optimization over the Hypercube von Pierre-David Letourneau, Jones, Dalton, Morse, Matthew, M Harper Langston

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An Efficient Framework for Global Non-Convex Polynomial Optimization with Algebraic Constraints von Mitchell Tong Harris, Pierre-David Letourneau, Jones, Dalton, M Harper Langston

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An Efficient Framework for Global Non-Convex Polynomial Optimization over the Hypercube von Letourneau, Pierre-David, Jones, Dalton, Morse, Matthew, Langston, M. Harper

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A Sparse Fast Chebyshev Transform for High-Dimensional Approximation von Jones, Dalton, Pierre-David Letourneau, Morse, Matthew J, M Harper Langston

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PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer von Pierre-David Letourneau, Singh, Manish Kumar, Hsin-Pai, Cheng, Han, Shizhong, Shi, Yunxiao, Jones, Dalton, Matthew Harper Langston, Cai, Hong, Porikli, Fatih

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An Efficient Framework for Global Non-Convex Polynomial Optimization with Algebraic Constraints von Harris, Mitchell Tong, Letourneau, Pierre-David, Jones, Dalton, Langston, M. Harper

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A Sparse Fast Chebyshev Transform for High-Dimensional Approximation von Jones, Dalton, Letourneau, Pierre-David, Morse, Matthew J, Langston, M. Harper

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A sparse multidimensional FFT for real positive vectors von Letourneau, Pierre-David, Langston, Harper, Meister, Benoit, Lethin, Richard

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PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization von Papenhausen, Eric, Langston, M. Harper, Meister, Benoit, Lethin, Richard, Mueller, Klaus

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PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer von Letourneau, Pierre-David, Singh, Manish Kumar, Cheng, Hsin-Pai, Han, Shizhong, Shi, Yunxiao, Jones, Dalton, Langston, Matthew Harper, Cai, Hong, Porikli, Fatih

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IDENTIFYING QUADRATIC PROGRAMMING SOLUTIONS von LETOURNEAU, Pierre-David, HASSEN, Rania, MCGRATH, Gary, LANGSTON, Matthew Harper

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IDENTIFYING QUADRATIC PROGRAMMING SOLUTIONS von LETOURNEAU, Pierre-David, HASSEN, Rania, MCGRATH, Gary, LANGSTON, Matthew Harper

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A sparse multidimensional FFT for real positive vectors von Pierre-David Letourneau, Harper Langston, Meister, Benoit, Lethin, Richard

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TRAINING OF NEURAL NETWORK WITH POLYNOMIAL SOLVER von MORSE, Matthew James, LETOURNEAU, Pierre-David, LETHIN, Richard, LANGSTON, Matthew Harper

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KINEMATIC INVARIANT-SPACE MAXIMUM ENTROPY TRACKER (KISMET) von WEINTRAUB, Lawrence Craig, WEI, Julia, MOUNTCASTLE, Paul, NOGOY, Aimee Kristine, LETHIN, Richard, HARRIS, Mitchell, LANGSTON, Matthew Harper

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A New Parallel Kernel-Independent Fast Multipole Method von Ying, Lexing, Biros, George, Zorin, Denis, Langston, Harper

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