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ORCIDSiba Smarak Panigrahi
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Conference and Workshop Papers
- 2025
[c5]Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh:
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. ICLR 2025- [c4]Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, et al.:
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks. ICLR 2025 - 2024
- [c3]Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh:
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. ICLR 2024 - 2023
- [c2]Arnab Kumar Mondal, Siba Smarak Panigrahi, Oumar Kaba, Sai Mudumba, Siamak Ravanbakhsh:
Equivariant Adaptation of Large Pretrained Models. NeurIPS 2023 - 2021
- [c1]Manav Nitin Kapadnis
, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy:
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. ArgMining@EMNLP 2021: 200-205
Informal and Other Publications
- 2025
- [i6]Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh:
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. CoRR abs/2502.03638 (2025) - 2024
- [i5]Siba Smarak Panigrahi, Arnab Kumar Mondal:
Improved Canonicalization for Model Agnostic Equivariance. CoRR abs/2405.14089 (2024) - [i4]Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar:
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. CoRR abs/2412.04626 (2024) - 2023
- [i3]Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh:
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. CoRR abs/2306.11941 (2023) - [i2]Arnab Kumar Mondal, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Sai Rajeswar, Siamak Ravanbakhsh:
Equivariant Adaptation of Large Pretrained Models. CoRR abs/2310.01647 (2023) - 2021
- [i1]Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy:
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. CoRR abs/2110.12370 (2021)
Coauthor Index
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