[Oct 24] |
One paper accepted in NeurIPS 2024 Workshop on RBFM. |
[Oct 24] |
One paper accepted in NeurIPS 2024 AI4Mat workshop with a spotlight talk. |
[Sep 24] |
Received EDIC Fellowship offer to start my Ph.D. at EPFL! |
[Jul 24] |
One blogpost accepted in GRaM workshop, ICML 2024! Blogpost here. |
[May 24] |
Two papers accepted in EquiVision workshop, CVPR 2024 with a spotlight talk! Slides here. |
[Apr 24] |
Gave a talk on Equivariant Adaptation of Large Pretrained Models at Google Research India. Slides here. |
[Mar 24] |
Received GREAT award from McGill University to attend ICLR 2024. |
[Mar 24] |
Released open-source Python package EquiAdapt! Feedback is welcome. |
[Jan 24] |
One paper accepted in ICLR 2024! |
[Oct 23] |
Organizing ML Reproducibility Challenge 2023! |
[Oct 23] |
Sponsored CA$ 6000 Google Cloud credits for CampusPulse Ideathon with KDAG, IIT Kharagpur! |
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Improved Canonicalization for Model Agnostic Equivariance
Siba Smarak Panigrahi, Arnab Kumar Mondal
Equivariant Vision (EquiVision) workshop (CVPR) 2024
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Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh
International Conference on Learning Representations (ICLR) 2024;
European Workshop on Reinforcement Learning (EWRL) 2023
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Equivariant Adaptation of Large Pretrained Models
Arnab Kumar Mondal*, Siba Smarak Panigrahi*, Sékou-Oumar Kaba, Sai Rajeswar, Siamak Ravanbakhsh
Conference on Neural Information Processing Systems (NeurIPS) 2023
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[Re]: Value Alignment Verification
Siba Smarak Panigrahi*, Sohan Patnaik*
The ML Reproducibility Challenge (MLRC), 2021;
NeurIPS Journal Showcase Track, 2022; NeurIPS Spotlight, 2022
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Leveraging Pretrained Language Models for Key Point Matching
Manav Nitin Kapadnis*, Sohan Patnaik*, Siba Smarak Panigrahi*, Varun Madhavan*, and Abhilash Nandy
8th workshop on ArgumentMining at Empirical Methods in Natural Language Processing (EMNLP), 2021
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Multi-class Emotion Classification Using EEG Signals
Divya Acharya, Riddhi Jain, Siba Smarak Panigrahi, Rahul Sahni, Siddhi Jain, Sanika Prashant Deshmukh, and Arpit Bhardwaj
10th International Advance Computing Conference (IACC), 2020
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EquiAdapt
Library to make any existing neural network architecture equivariant.
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