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David Shih
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Journal Articles
- 2018
- [j2]Jason Aebischer, Ilaria Brivio, Alejandro Celis, Jared A. Evans, Yun Jiang, Jacky Kumar, Xuanyou Pan, Werner Porod, Janusz Rosiek, David Shih, Florian Staub, David M. Straub, Danny van Dyk, Avelino Vicente:
WCxf: An exchange format for Wilson coefficients beyond the Standard Model. Comput. Phys. Commun. 232: 71-83 (2018) - 2003
- [j1]Mihai A. Margarit, David Shih, Patrick J. Sullivan, Fernando Ortega:
A 5-GHz BiCMOS RFIC front-end for IEEE 802.11a/HiperLAN wireless LAN. IEEE J. Solid State Circuits 38(7): 1284-1287 (2003)
Conference and Workshop Papers
- 2018
- [c2]Tian Tan, Eriko Nurvitadhi, David Shih, Derek Chiou:
Evaluating The Highly-Pipelined Intel Stratix 10 FPGA Architecture Using Open-Source Benchmarks. FPT 2018: 206-213 - 2017
- [c1]David Shih:
Collaboration and innovation for your success. VLSI-DAT 2017: 1
Informal and Other Publications
- 2024
- [i16]Thorsten Buss, Frank Gaede, Gregor Kasieczka, Claudius Krause, David Shih:
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows. CoRR abs/2405.20407 (2024) - [i15]Anna Hallin, Gregor Kasieczka, Sabine Kraml, André Lessa, Louis Moureaux, Tore von Schwartz, David Shih:
Universal New Physics Latent Space. CoRR abs/2407.20315 (2024) - 2023
- [i14]Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman, David Shih, Matthew R. Buckley, Jack H. Collins:
Weakly-Supervised Anomaly Detection in the Milky Way. CoRR abs/2305.03761 (2023) - [i13]Matthew R. Buckley, Claudius Krause, Ian Pang, David Shih:
Inductive CaloFlow. CoRR abs/2305.11934 (2023) - [i12]Ian Pang, John Andrew Raine, David Shih:
SuperCalo: Calorimeter shower super-resolution. CoRR abs/2308.11700 (2023) - [i11]Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih:
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion. CoRR abs/2310.00049 (2023) - [i10]David Shih, Marat Freytsis, Stephen R. Taylor, Jeff A. Dror, Nolan Smyth:
Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows. CoRR abs/2310.12209 (2023) - [i9]Joschka Birk, Erik Buhmann, Cedric Ewen, Gregor Kasieczka, David Shih:
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information. CoRR abs/2312.00123 (2023) - [i8]Ranit Das, Gregor Kasieczka, David Shih:
Residual ANODE. CoRR abs/2312.11629 (2023) - 2022
- [i7]Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner:
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. CoRR abs/2203.08806 (2022) - [i6]Claudius Krause, Ian Pang, David Shih:
CaloFlow for CaloChallenge Dataset 1. CoRR abs/2210.14245 (2022) - [i5]Ranit Das, Gregor Kasieczka, David Shih:
Feature Selection with Distance Correlation. CoRR abs/2212.00046 (2022) - 2021
- [i4]Claudius Krause, David Shih:
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows. CoRR abs/2106.05285 (2021) - [i3]Gregor Kasieczka, Benjamin Nachman, David Shih:
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics. CoRR abs/2107.02821 (2021) - [i2]Claudius Krause, David Shih:
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows. CoRR abs/2110.11377 (2021) - [i1]Vinicius Mikuni, Benjamin Nachman, David Shih:
Online-compatible Unsupervised Non-resonant Anomaly Detection. CoRR abs/2111.06417 (2021)
Coauthor Index
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