Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. - Manav Nitin Kapadnis; Sohan Patnaik; Siba Smarak Panigrahi; Varun Madhavan; Abhilash Nandy (ArgMining@EMNLP, 2021)

Equivariant Adaptation of Large Pretrained Models. - Arnab Kumar Mondal; Siba Smarak Panigrahi; Oumar Kaba; Sai Mudumba; Siamak Ravanbakhsh (NeurIPS, 2023)

Equivariant Adaptation of Large Pretrained Models. - Arnab Kumar Mondal; Siba Smarak Panigrahi; Sékou-Oumar Kaba; Sai Rajeswar; Siamak Ravanbakhsh (CoRR, 2023)

Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. - Arnab Kumar Mondal; Siba Smarak Panigrahi; Sai Rajeswar; Kaleem Siddiqi; Siamak Ravanbakhsh (ICLR, 2024)

Improved Canonicalization for Model Agnostic Equivariance. - Siba Smarak Panigrahi; Arnab Kumar Mondal (CoRR, 2024)

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. - Juan A. Rodríguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; Mahsa Massoud; et al. (CoRR, 2024)

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. - Daniel Levy; Siba Smarak Panigrahi; Sékou-Oumar Kaba; Qiang Zhu; Kin Long Kelvin Lee; Mikhail Galkin 001; Santiago Miret; Siamak Ravanbakhsh (ICLR, 2025)

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks. - Juan A. Rodríguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte Suresh; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; Mahsa Massoud; et al. (ICLR, 2025)