Travel Time Prediction of Taxis using Tensor Factorization. - Soumya Suvra Ghosal (COMAD/CODS, 2019)

A Deep Learning Approach to Predict Parking Occupancy using Cluster Augmented Learning Method. - Soumya Suvra Ghosal; Abderrahman Bani; Amine Amrouss; Issmail El Hallaoui (ICDM Workshops, 2019)

Novel Approach to Music Genre Classification using Clustering Augmented Learning Method (CALM). - Soumya Suvra Ghosal; Indranil Sarkar (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences. - Soumya Suvra Ghosal; Deepak P 001; Anna Jurek-Loughrey (iiWAS, 2020)

Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM). - Soumya Suvra Ghosal; Indranil Sarkar; Issmail El Hallaoui (HSDM@WSDM, 2020)

A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions. - Ramya Hebbalaguppe; Soumya Suvra Ghosal; Jatin Prakash; Harshad Khadilkar; Chetan Arora 001 (ECML/PKDD (3), 2022)

Are Vision Transformers Robust to Spurious Correlations? - Soumya Suvra Ghosal; Yifei Ming; Yixuan Li 001 (CoRR, 2022)

Distributionally Robust Optimization with Probabilistic Group. - Soumya Suvra Ghosal; Yixuan Li 001 (AAAI, 2023)

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey. - Soumya Suvra Ghosal; Souradip Chakraborty; Jonas Geiping; Furong Huang; Dinesh Manocha; Amrit Singh Bedi (CoRR, 2023)

A Survey on the Possibilities & Impossibilities of AI-generated Text Detection. - Soumya Suvra Ghosal; Souradip Chakraborty; Jonas Geiping; Furong Huang; Dinesh Manocha; Amrit S. Bedi (Trans. Mach. Learn. Res., 2023)

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? - Soumya Suvra Ghosal; Yiyou Sun; Yixuan Li 001 (AAAI, 2024)

IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning. - Soumya Suvra Ghosal; Samyadeep Basu; Soheil Feizi; Dinesh Manocha (EMNLP, 2024)

Transfer Q-star : Principled Decoding for LLM Alignment. - Souradip Chakraborty; Soumya Suvra Ghosal; Ming Yin 003; Dinesh Manocha; Mengdi Wang; Amrit Singh Bedi; Furong Huang (NeurIPS, 2024)

Are Vision Transformers Robust to Spurious Correlations? - Soumya Suvra Ghosal; Yixuan Li 001 (Int. J. Comput. Vis., 2024)

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. - Soumya Suvra Ghosal; Souradip Chakraborty; Vaibhav Singh; Tianrui Guan; Mengdi Wang; Ahmad Beirami; Furong Huang; Alvaro Velasquez; Dinesh Manocha; Amrit Singh Bedi (CVPR, 2025)

Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. - Souradip Chakraborty; Sujay Bhatt; Udari Madhushani Sehwag; Soumya Suvra Ghosal; Jiahao Qiu; Mengdi Wang; Dinesh Manocha; Furong Huang; Alec Koppel; Sumitra Ganesh (ICLR, 2025)

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from related Example Banks. - Soumya Suvra Ghosal; Soumyabrata Pal; Koyel Mukherjee; Dinesh Manocha (NAACL (Long Papers), 2025)

Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time. - Mohamad Fares El Hajj Chehade; Soumya Suvra Ghosal; Souradip Chakraborty; Avinash Reddy; Dinesh Manocha; Hao Zhu; Amrit Singh Bedi (CoRR, 2025)

Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models. - Soumya Suvra Ghosal; Souradip Chakraborty; Avinash Reddy; Yifu Lu; Mengdi Wang; Dinesh Manocha; Furong Huang; Mohammad Ghavamzadeh; Amrit Singh Bedi (CoRR, 2025)

Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples. - Soumya Suvra Ghosal; Vaibhav Singh; Akash Ghosh; Soumyabrata Pal; Subhadip Baidya; Sriparna Saha 001; Dinesh Manocha (CoRR, 2025)