Negar Hassanpour

Orcid: 0000-0002-5211-4152

According to our database1, Negar Hassanpour authored at least 22 papers between 2015 and 2025.

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Timeline

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Bibliography

2025
RePack: Representation Packing of Vision Foundation Model Features Enhances Diffusion Transformer.
CoRR, December, 2025

Griffin: Generative Reference and Layout Guided Image Composition.
CoRR, September, 2025

GLASS: Test-Time Acceleration for LLMs via Global-Local Neural Importance Aggregation.
CoRR, August, 2025

Cora: Correspondence-aware image editing using few step diffusion.
CoRR, May, 2025

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone.
CoRR, February, 2025

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting.
Trans. Mach. Learn. Res., 2025

Cora: Correspondence-aware image editing using few step diffusion.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Qua<sup>2</sup>SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models.
CoRR, 2024

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting.
CoRR, 2024

2023
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors.
CoRR, 2022

2021
Variational Auto-Encoder Architectures that Excel at Causal Inference.
CoRR, 2021

2020
Learning Disentangled Representations for CounterFactual Regression.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation.
CoRR, 2019

CounterFactual Regression with Importance Sampling Weights.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Counterfactual Reasoning in Observational Studies.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Survey: How good are the current advances in image set based face identification? - Experiments on three popular benchmarks with a naïve approach.
Comput. Vis. Image Underst., 2017

A Quantum Probability Inspired Framework for Image-Set Based Face Identification.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2015
A hierarchical training and identification method using Gaussian process models for face recognition in videos.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015


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