A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. - Saptarshi Sengupta; Sanchita Basak; Pallabi Saikia; Sayak Paul; Vasilios Tsalavoutis; Frederick Ditliac Atiah; Vadlamani Ravi; Richard Alan Peters (CoRR, 2019)

G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. - Souradip Chakraborty; Aritra Roy Gosthipaty; Sayak Paul (ICDM (Workshops), 2020)

A review of deep learning with special emphasis on architectures, applications and recent trends. - Saptarshi Sengupta; Sanchita Basak; Pallabi Saikia; Sayak Paul; Vasilios Tsalavoutis; Frederick Ditliac Atiah; Vadlamani Ravi; Alan Peters (Knowl. Based Syst., 2020)

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Sheng Chen; Xin Xia 014; Zhaoyan Liu; Yuwei Zhang; Feng Zhu; Jiashi Li; Xuefeng Xiao 001; Yuan Tian; Xinglong Wu; et al. (CoRR, 2021)

Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning. - Sayak Paul; Siddha Ganju (CoRR, 2021)

Vision Transformers Are Robust Learners. - Sayak Paul; Pin-Yu Chen (AAAI, 2022)

Getting it Right: Improving Spatial Consistency in Text-to-Image Models. - Agneet Chatterjee; Gabriela Ben Melech Stan; Estelle Aflalo; Sayak Paul; Dhruba Ghosh; Tejas Gokhale; Ludwig Schmidt; Hannaneh Hajishirzi; Vasudev Lal; Chitta Baral; Yezhou Yang (ECCV (22), 2024)

Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss. - Yatharth Gupta; Vishnu V. Jaddipal; Harish Prabhala; Sayak Paul; Patrick von Platen (CoRR, 2024)

PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models. - Junsong Chen; Yue Wu 002; Simian Luo; Enze Xie; Sayak Paul; Ping Luo 002; Hang Zhao; Zhenguo Li (CoRR, 2024)

Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. - Jiwoo Hong; Sayak Paul; Noah Lee; Kashif Rasul; James Thorne; Jongheon Jeong (CoRR, 2024)

FastRM: An efficient and automatic explainability framework for multimodal generative models. - Gabriela Ben Melech Stan; Estelle Aflalo; Man Luo; Shachar Rosenman; Tiep Le; Sayak Paul; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

A Noise is Worth Diffusion Guidance. - Donghoon Ahn; Jiwon Kang; Sanghyun Lee; Jaewon Min; Minjae Kim; Wooseok Jang; Hyoungwon Cho; Sayak Paul; Seonhwa Kim; Eunju Cha; Kyong Hwan Jin; Seungryong Kim (CoRR, 2024)

FiVL: A Framework for Improved Vision-Language Alignment. - Estelle Aflalo; Gabriela Ben Melech Stan; Tiep Le; Man Luo; Shachar Rosenman; Sayak Paul; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs. - Chansung Park; Juyong Jiang; Fan Wang; Sayak Paul; Jing Tang 004 (ACL (1), 2025)

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis. - Bingda Tang; Boyang Zheng; Sayak Paul; Saining Xie (CVPR, 2025)

DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models. - Shyam Marjit; Harshit Singh; Nityanand Mathur; Sayak Paul; Chia-Mu Yu; Pin-Yu Chen (WACV, 2025)

SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation. - Junsong Chen; Shuchen Xue; Yuyang Zhao; Jincheng Yu; Sayak Paul; Junyu Chen 003; Han Cai; Enze Xie; Song Han 003 (CoRR, 2025)

From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning. - Le Zhuo; Liangbing Zhao; Sayak Paul; Yue Liao; Renrui Zhang; Yi Xin 003; Peng Gao 007; Mohamed Elhoseiny; Hongsheng Li 001 (CoRR, 2025)

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis. - Bingda Tang; Boyang Zheng; Xichen Pan; Sayak Paul; Saining Xie (CoRR, 2025)

Fine-Grained Perturbation Guidance via Attention Head Selection. - Donghoon Ahn; Jiwon Kang; Sanghyun Lee; Minjae Kim; Jaewon Min; Wooseok Jang; Saungwu Lee; Sayak Paul; Susung Hong; Seungryong Kim (CoRR, 2025)