Ian Colbert - RankMe

33 papers A* 2B 1C 2Misc 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs. EuroMLSys@EuroSys Lara D'Agata, Carlos Agulló-Domingo, Óscar Vera-López, Kaustubh Shivdikar, Ardhi W. B. Yudha, Ferhat Yaman, David R. Kaeli, José L. Abellán, Ian Colbert, José Cano
2026	J	`jnl`	MixQuant: Pushing the Limits of Block Rotations in Post-Training Quantization. CoRR Sai Sanjeet, Ian Colbert, Pablo Monteagudo-Lago, Giuseppe Franco, Yaman Umuroglu, Nicholas J. Fraser
2025	J	`jnl`	Accumulator-Aware Post-Training Quantization for Large Language Models. Trans. Mach. Learn. Res. Ian Colbert, Giuseppe Franco, Fabian Grob, Jinjie Zhang, Rayan Saab
2025	J	`jnl`	Combining Reinforcement Learning and Behavior Trees for NPCs in Video Games with AMD Schola. CoRR Tian Liu, Alexander Cann, Ian Colbert, Mehdi Saeedi
2025	J	`jnl`	DPWatch: A Framework for Hardware-Based Differential Privacy Guarantees. IEEE Comput. Archit. Lett. Pawan Kumar Sanjaya, Christina Giannoula, Ian Colbert, Ihab Amer, Mehdi Saeedi, Gabor Sines, Nandita Vijaykumar
2025	—	`conf`	Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. EuroMLSys Aidan Ferguson, Perry Gibson, Lara D'Agata, Parker McLeod, Ferhat Yaman, Amitabh Das, Ian Colbert, José Cano
2025	J	`jnl`	Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. CoRR Aidan Ferguson, Perry Gibson, Lara D'Agata, Parker McLeod, Ferhat Yaman, Amitabh Das, Ian Colbert, José Cano
2025	J	`jnl`	Improving Quantization with Post-Training Model Expansion. CoRR Giuseppe Franco, Pablo Monteagudo-Lago, Ian Colbert, Nicholas J. Fraser, Michaela Blott
2025	C	`conf`	Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach. CoG Daniel Campa, Mehdi Saeedi, Ian Colbert, Srinjoy Das
2025	J	`jnl`	Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach. CoRR Daniel Campa, Mehdi Saeedi, Ian Colbert, Srinjoy Das
2025	J	`jnl`	Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos. CoRR Haoyu Zhang, Shihao Zhang, Ian Colbert, Rayan Saab
2025	J	`jnl`	Qronos: Correcting the Past by Shaping the Future... in Post-Training Quantization. CoRR Shihao Zhang, Haoyu Zhang, Ian Colbert, Rayan Saab
2025	J	`jnl`	SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators. CoRR Yaman Umuroglu, Christoph Berganski, Felix Jentzsch, Michal Danilowicz, Tomasz Kryjak, Charalampos Bezaitis, Magnus Själander, Ian Colbert, Thomas B. Preußer, Jakoba Petri-Koenig, Michaela Blott
2024	A*	`conf`	A2Q+: Improving Accumulator-Aware Weight Quantization. ICML Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu
2024	J	`jnl`	A2Q+: Improving Accumulator-Aware Weight Quantization. CoRR Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu
2024	J	`jnl`	Accumulator-Aware Post-Training Quantization. CoRR Ian Colbert, Fabian Grob, Giuseppe Franco, Jinjie Zhang, Rayan Saab
2023	A*	`conf`	A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. ICCV Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig
2023	J	`jnl`	A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. CoRR Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig
2023	—	`—`	End-to-End Inference Optimization for Deep Learning-based Image Upsampling Networks Ian Colbert
2023	J	`jnl`	Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance. CoRR Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig
2022	C	`conf`	Evaluating Navigation Behavior of Agents in Games using Non-Parametric Statistics. CoG Ian Colbert, Mehdi Saeedi
2022	J	`jnl`	Human-Like Navigation Behavior: A Statistical Evaluation Framework. CoRR Ian Colbert, Mehdi Saeedi
2022	J	`jnl`	Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries. CoRR Alexander Cann, Ian Colbert, Ihab Amer
2021	J	`jnl`	A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? CoRR Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das
2021	J	`jnl`	An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling. IEEE Access Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2021	J	`jnl`	An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling. CoRR Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2021	J	`jnl`	Generating GPU Compiler Heuristics using Reinforcement Learning. CoRR Ian Colbert, Jake Daly, Norm Rubin
2021	J	`jnl`	Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. CoRR Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2021	J	`jnl`	Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations. CoRR Xinyu Zhang, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2019	B	`conf`	AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. IJCNN Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2019	J	`jnl`	AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. CoRR Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2019	Misc	`conf`	PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. ACSSC Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
2019	J	`jnl`	PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das