Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis. - Priyadarshini Panda; Efstathia Soufleri; Kaushik Roy 001 (IJCNN, 2019)

Network Compression via Mixed Precision Quantization Using a Multi-Layer Perceptron for the Bit-Width Allocation. - Efstathia Soufleri; Kaushik Roy 001 (IEEE Access, 2021)

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 001 (DATE, 2022)

Unveiling Privacy, Memorization, and Input Curvature Links. - Deepak Ravikumar; Efstathia Soufleri; Abolfazl Hashemi; Kaushik Roy 001 (ICML, 2024)

Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. - Deepak Ravikumar; Efstathia Soufleri; Kaushik Roy 001 (NeurIPS, 2024)

Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation. - Efstathia Soufleri; Deepak Ravikumar; Kaushik Roy 001 (CoRR, 2024)

DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis. - Efstathia Soufleri; Deepak Ravikumar; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2024)

Improved Out-of-Distribution Detection with Additive Angular Margin Loss. - Deepak Ravikumar; Efstathia Soufleri; Kaushik Roy 001 (CVPR Workshops, 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, 2025)

Finding the Muses: Identifying Coresets through Loss Trajectories. - Manish Nagaraj; Deepak Ravikumar; Efstathia Soufleri; Kaushik Roy 001 (CoRR, 2025)

Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition. - Shristi Das Biswas; Efstathia Soufleri; Arani Roy; Kaushik Roy 001 (CoRR, 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; et al. (CoRR, 2025)