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2020 – today
- 2025
[j2]Pawan Kumar Sanjaya
, Christina Giannoula, Ian Colbert, Ihab Amer, Mehdi Saeedi, Gabor Sines, Nandita Vijaykumar:
DPWatch: A Framework for Hardware-Based Differential Privacy Guarantees. IEEE Comput. Archit. Lett. 24(1): 89-92 (2025)- [c6]Aidan Ferguson, Perry Gibson, Lara D'Agata, Parker McLeod, Ferhat Yaman, Amitabh Das, Ian Colbert, José Cano:
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. EuroMLSys 2025: 31-38 - [i15]Aidan Ferguson, Perry Gibson, Lara D'Agata, Parker McLeod, Ferhat Yaman, Amitabh Das, Ian Colbert, José Cano:
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. CoRR abs/2503.09184 (2025) - [i14]Giuseppe Franco, Pablo Monteagudo-Lago, Ian Colbert, Nicholas J. Fraser, Michaela Blott:
Improving Quantization with Post-Training Model Expansion. CoRR abs/2503.17513 (2025) - 2024
- [c5]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu:
A2Q+: Improving Accumulator-Aware Weight Quantization. ICML 2024 - [i13]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu:
A2Q+: Improving Accumulator-Aware Weight Quantization. CoRR abs/2401.10432 (2024) - [i12]Ian Colbert, Fabian Grob, Giuseppe Franco, Jinjie Zhang, Rayan Saab:
Accumulator-Aware Post-Training Quantization. CoRR abs/2409.17092 (2024) - 2023
- [b1]Ian Colbert:
End-to-End Inference Optimization for Deep Learning-based Image Upsampling Networks. University of California, San Diego, USA, 2023 - [c4]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. ICCV 2023: 16943-16952 - [i11]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance. CoRR abs/2301.13376 (2023) - [i10]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. CoRR abs/2308.13504 (2023) - 2022
- [c3]Ian Colbert, Mehdi Saeedi:
Evaluating Navigation Behavior of Agents in Games using Non-Parametric Statistics. CoG 2022: 544-547 - [i9]Ian Colbert, Mehdi Saeedi:
Human-Like Navigation Behavior: A Statistical Evaluation Framework. CoRR abs/2203.05965 (2022) - [i8]Alexander Cann, Ian Colbert, Ihab Amer:
Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries. CoRR abs/2209.06931 (2022) - 2021
- [j1]Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling. IEEE Access 9: 147967-147984 (2021) - [i7]Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das:
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? CoRR abs/2102.00294 (2021) - [i6]Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. CoRR abs/2102.00534 (2021) - [i5]Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling. CoRR abs/2107.07647 (2021) - [i4]Xinyu Zhang, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations. CoRR abs/2110.08271 (2021) - [i3]Ian Colbert, Jake Daly, Norm Rubin:
Generating GPU Compiler Heuristics using Reinforcement Learning. CoRR abs/2111.12055 (2021)
2010 – 2019
- 2019
- [c2]Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das:
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. ACSSC 2019: 2219-2223 - [c1]Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. IJCNN 2019: 1-9 - [i2]Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. CoRR abs/1903.04659 (2019) - [i1]Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das:
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR abs/1910.12454 (2019)
Coauthor Index
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last updated on 2025-05-03 00:04 CEST by the dblp team
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