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Siddhant Agarwal
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2020 – today
- 2024
- [c6]Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. ACL (Findings) 2024: 5042-5078 - [i10]Caleb Chuck, Carl Qi, Michael J. Munje, Shuozhe Li, Max Rudolph, Chang Shi, Siddhant Agarwal, Harshit Sikchi, Abhinav Peri, Sarthak Dayal, Evan Kuo, Kavan Mehta, Anthony Wang, Peter Stone, Amy Zhang, Scott Niekum:
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. CoRR abs/2405.03113 (2024) - [i9]Siddhant Agarwal, Shivam Sharma
, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. CoRR abs/2405.11215 (2024) - [i8]Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier:
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations. CoRR abs/2407.19916 (2024) - [i7]Siddhant Agarwal, Nicola Tosi, Christian Hüttig, David S. Greenberg, Ali Can Bekar:
Accelerating the discovery of steady-states of planetary interior dynamics with machine learning. CoRR abs/2408.17298 (2024) - 2023
- [c5]Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. AAAI 2023: 9763-9771 - [c4]Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang:
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences. NeurIPS 2023 - [i6]Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang:
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences. CoRR abs/2310.06794 (2023) - 2022
- [i5]Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. CoRR abs/2212.00715 (2022) - 2021
- [c3]Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR 2021 - [i4]Siddhant Agarwal, Nicola Tosi, Pan Kessel, Doris Breuer, Grégoire Montavon:
Deep learning for surrogate modelling of 2D mantle convection. CoRR abs/2108.10105 (2021) - [i3]Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das:
Reinforcement Explanation Learning. CoRR abs/2111.13406 (2021) - 2020
- [i2]Mingjie Sun, Siddhant Agarwal, J. Zico Kolter:
Poisoned classifiers are not only backdoored, they are fundamentally broken. CoRR abs/2010.09080 (2020) - [i1]Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR abs/2010.12872 (2020)
2010 – 2019
- 2019
- [c2]Rishabh Madan, Deepank Agrawal, Shreyas Kowshik, Harsh Maheshwari, Siddhant Agarwal, Debashish Chakravarty:
Traffic Sign Classification using Hybrid HOG-SURF Features and Convolutional Neural Networks. ICPRAM 2019: 613-620 - 2016
- [c1]Siddhant Agarwal, Mukta Goyal
Intuitionistic fuzzy ant colony optimization for course sequencing in E-learning. IC3 2016: 1-6
Coauthor Index
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