Avik Pal

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Numerical Solution

Top Venues

SemEval@ACL/IJCNLP

Publications

Facundo Sapienza, Jordi Bolibar, Frank Schäfer, Brian Groenke, Avik Pal, Victor Boussange, Patrick Heimbach, Giles Hooker, Fernando Pérez, Per-Olof Persson, Christopher Rackauckas
Differentiable Programming for Differential Equations: A Review. CoRR (2024)
Avik Pal, Flemming Holtorf, Axel Larsson, Torkel E. Loman, Utkarsh Rajput, Frank Schäfer, Qingyu Qu, Alan Edelman, Chris Rackauckas
NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia. CoRR (2024)
Matteo Nulli, Anesa Ibrahimi, Avik Pal, Hoshe Lee, Ivona Najdenkoska
In-Context Learning Improves Compositional Understanding of Vision-Language Models. CoRR (2024)
Slawomir Garcarz, Avik Pal, Pim Praat
[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation. CoRR (2024)
Avik Pal, Madhura Pawar
Hitting "Probe"rty with Non-Linearity, and More. CoRR (2024)
Avik Pal, Alan Edelman, Chris Rackauckas
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! CoRR (2023)
Avik Pal, Alan Edelman, Chris Rackauckas
Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity. HPEC (2023)
Avik Pal, Alan Edelman, Christopher Vincent Rackauckas
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! ICML (2023)
Avik Pal, Alan Edelman, Christopher Rackauckas
Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs). CoRR (2022)
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
Composing Modeling And Simulation With Machine Learning In Julia. ANNSIM (2022)
Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Rackauckas
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. CoRR (2021)
Christopher Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwózdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi, Avik Pal, Utkarsh Rajput, Elliot Saba, Viral B. Shah
Composing Modeling and Simulation with Machine Learning in Julia. CoRR (2021)
Avik Pal, Aniket Das
TorchGAN: A Flexible Framework for GAN Training and Evaluation. J. Open Source Softw. 6 (66) (2021)
Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness. CoRR (2021)
Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness. SemEval@ACL/IJCNLP (2021)
Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler
Emergent Road Rules In Multi-Agent Driving Environments. ICLR (2021)
Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Vincent Rackauckas
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. ICML (2021)
Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler
Emergent Road Rules In Multi-Agent Driving Environments. CoRR (2020)
Avik Pal
RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction. CoRR (2019)
Avik Pal, Aniket Das
TorchGAN: A Flexible Framework for GAN Training and Evaluation. CoRR (2019)
Michael Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal, Viral B. Shah
Fashionable Modelling with Flux. CoRR (2018)