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David Shih
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2020 – today
- 2024
- [i15]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) - 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)
2010 – 2019
- 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) - [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
2000 – 2009
- 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)
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last updated on 2024-06-25 20:58 CEST by the dblp team
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