Fashionable Modelling with Flux. - Michael Innes; Elliot Saba; Keno Fischer; Dhairya Gandhi; Marco Concetto Rudilosso; Neethu Mariya Joy; Tejan Karmali; Avik Pal; Viral B. Shah (CoRR, 2018)

RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction. - Avik Pal (CoRR, 2019)

Emergent Road Rules In Multi-Agent Driving Environments. - Avik Pal; Jonah Philion; Yuan-Hong Liao; Sanja Fidler (ICLR, 2021)

Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. - Avik Pal; Yingbo Ma; Viral B. Shah; Christopher Vincent Rackauckas (ICML, 2021)

Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness. - Aishwarya Gupta 001; Avik Pal; Bholeshwar Khurana; Lakshay Tyagi; Ashutosh Modi (SemEval@ACL/IJCNLP, 2021)

TorchGAN: A Flexible Framework for GAN Training and Evaluation. - Avik Pal; Aniket Das (J. Open Source Softw., 2021)

Composing Modeling And Simulation With Machine Learning In Julia. - Chris Rackauckas; Maja Gwózdz; Anand Jain; Yingbo Ma; Francesco Martinuzzi; Utkarsh Rajput; Elliot Saba; Viral B. Shah; Ranjan Anantharaman; Alan Edelman; Shashi Gowda; Avik Pal; et al. (ANNSIM, 2022)

Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs). - Avik Pal; Alan Edelman; Christopher Rackauckas (CoRR, 2022)

Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity. - Avik Pal; Alan Edelman; Chris Rackauckas (HPEC, 2023)

Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! - Avik Pal; Alan Edelman; Christopher Vincent Rackauckas (ICML, 2023)

Hitting "Probe"rty with Non-Linearity, and More. - Avik Pal; Madhura Pawar (CoRR, 2024)

[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation. - Slawomir Garcarz; Avik Pal; Pim Praat (CoRR, 2024)

NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia. - Avik Pal; Flemming Holtorf; Axel Larsson; Torkel E. Loman; Utkarsh Rajput; Frank Schäfer; Qingyu Qu; Alan Edelman; Chris Rackauckas (CoRR, 2024)

Differentiable Programming for Differential Equations: A Review. - Facundo Sapienza; Jordi Bolibar; Frank Schäfer; Brian Groenke; Avik Pal; Victor Boussange; Patrick Heimbach; Giles Hooker; Fernando Pérez; Per-Olof Persson; Christopher Rackauckas (CoRR, 2024)

In-Context Learning Improves Compositional Understanding of Vision-Language Models. - Matteo Nulli; Anesa Ibrahimi; Avik Pal; Hoshe Lee; Ivona Najdenkoska (CoRR, 2024)

Compositional Entailment Learning for Hyperbolic Vision-Language Models. - Avik Pal; Max van Spengler; Guido Maria D'Amely di Melendugno; Alessandro Flaborea; Fabio Galasso; Pascal Mettes (ICLR, 2025)

Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints. - Avik Pal; Alan Edelman; Christopher Rackauckas (CoRR, 2025)