36 citations · 77 across the 8 of their papers we have counts for
8 papers
Physics-based machine learning for mantle convection simulations
Siddhant Agarwal, Ali Can Bekar, Christian Hüttig +2
Mantle convection simulations are an essential tool for understanding how rocky planets evolve. However, the poorly known input parameters to these simulations, the non-linear depe…
Accelerating the discovery of steady-states of planetary interior dynamics with machine learning
Siddhant Agarwal, Nicola Tosi, Christian Hüttig +2
Simulating mantle convection often requires reaching a computationally expensive steady-state, crucial for deriving scaling laws for thermal and dynamical flow properties and bench…
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations
Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand +3
This paper presents a methodology to learn surrogate models of steady state fluid dynamics simulations on meshed domains, based on Implicit Neural Representations (INRs). The propo…
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
Shivam Sharma, Siddhant Agarwal, Tharun Suresh +3
Memes are powerful means for effective communication on social media. Their effortless amalgamation of viral visuals and compelling messages can have far-reaching implications with…
Reinforcement Explanation Learning
Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi +2
Deep Learning has become overly complicated and has enjoyed stellar success in solving several classical problems like image classification, object detection, etc. Several methods…
Deep learning for surrogate modelling of 2D mantle convection
Siddhant Agarwal, Nicola Tosi, Pan Kessel +2
Traditionally, 1D models based on scaling laws have been used to parameterized convective heat transfer rocks in the interior of terrestrial planets like Earth, Mars, Mercury and V…
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Mrigank Raman, Aaron Chan, Siddhant Agarwal +7
Knowledge graphs (KGs) have helped neural models improve performance on various knowledge-intensive tasks, like question answering and item recommendation. By using attention over…
Poisoned classifiers are not only backdoored, they are fundamentally broken
Mingjie Sun, Siddhant Agarwal, J. Zico Kolter
Under a commonly-studied backdoor poisoning attack against classification models, an attacker adds a small trigger to a subset of the training data, such that the presence of this…