Efstathia Soufleri

According to our database, Efstathia Soufleri authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation.

Xueqing Peng, Lingfei Qian, Yan Wang, Ruoyu Xiang, Yueru He, Yang Ren, Mingyang Jiang, Jeff Zhao, Huan He, Yi Han, Yun Feng, Yuechen Jiang, Yupeng Cao, Haohang Li, Yangyang Yu, Xiaoyu Wang, Penglei Gao, Shengyuan Lin, Keyi Wang, Shanshan Yang, Yilun Zhao, Zhiwei Liu, Peng Lu, Jerry Huang, Suyuchen Wang, Triantafillos Papadopoulos, Polydoros Giannouris, Efstathia Soufleri, Nuo Chen, Guojun Xiong, Zhiyang Deng, Yijia Zhao, Mingquan Lin, Meikang Qiu, Kaleb E. Smith, Arman Cohan, Xiao-Yang Liu, Jimin Huang, Alejandro Lopez-Lira, Xi Chen, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou, Qianqian Xie

CoRR, June, 2025

Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition.

Shristi Das Biswas, Efstathia Soufleri, Arani Roy, Kaushik Roy

CoRR, March, 2025

Finding the Muses: Identifying Coresets through Loss Trajectories.

Manish Nagaraj, Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy

CoRR, March, 2025

Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance.

Xueqing Peng, Triantafillos Papadopoulos, Efstathia Soufleri, Polydoros Giannouris, Ruoyu Xiang, Yan Wang, Lingfei Qian, Jimin Huang, Qianqian Xie, Sophia Ananiadou

CoRR, February, 2025

Improved Out-of-Distribution Detection with Additive Angular Margin Loss.

Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis.

Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy

Trans. Mach. Learn. Res., 2024

Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation.

Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy

CoRR, 2024

Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature.

Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unveiling Privacy, Memorization, and Input Curvature Links.

Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars.

Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Network Compression via Mixed Precision Quantization Using a Multi-Layer Perceptron for the Bit-Width Allocation.

Efstathia Soufleri, Kaushik Roy

IEEE Access, 2021

2019

Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis.

Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy

Proceedings of the International Joint Conference on Neural Networks, 2019