Avik Pal

According to our database, Avik Pal authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

In-Context Learning Improves Compositional Understanding of Vision-Language Models.

Matteo Nulli, Anesa Ibrahimi, Avik Pal, Hoshe Lee, Ivona Najdenkoska

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

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

[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation.

Slawomir Garcarz, Avik Pal, Pim Praat

CoRR, 2024

Hitting "Probe"rty with Non-Linearity, and More.

Avik Pal, Madhura Pawar

CoRR, 2024

2023

Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!

Avik Pal, Alan Edelman, Christopher Vincent Rackauckas

Proceedings of the International Conference on Machine Learning, 2023

Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity.

Avik Pal, Alan Edelman, Chris Rackauckas

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

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

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, Chris Laughman

Proceedings of the Annual Modeling and Simulation Conference, 2022

2021

TorchGAN: A Flexible Framework for GAN Training and Evaluation.

Avik Pal, Aniket Das

J. Open Source Softw., 2021

Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness.

Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics.

Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Vincent Rackauckas

Proceedings of the 38th International Conference on Machine Learning, 2021

Emergent Road Rules In Multi-Agent Driving Environments.

Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction.

Avik Pal

CoRR, 2019

2018

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