Avik Pal

25 papers A* 4Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia.
ACM Trans. Math. Softw.
Avik Pal, Flemming Holtorf, Axel Larsson, Torkel E. Loman, Utkarsh Utkarsh, Frank Schäfer, Qingyu Qu, Alan Edelman, Chris Rackauckas
2025 A* conf
Compositional Entailment Learning for Hyperbolic Vision-Language Models.
ICLR
Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes
2025 J jnl
Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints.
CoRR
Avik Pal, Alan Edelman, Christopher Rackauckas
2024 J jnl
Compositional Entailment Learning for Hyperbolic Vision-Language Models.
CoRR
Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes
2024 J jnl
Differentiable Programming for Differential Equations: A Review.
CoRR
Facundo Sapienza, Jordi Bolibar, Frank Schäfer, Brian Groenke, Avik Pal, Victor Boussange, Patrick Heimbach, Giles Hooker, Fernando Pérez, Per-Olof Persson, Christopher Rackauckas
2024 J jnl
Hitting "Probe"rty with Non-Linearity, and More.
CoRR
Avik Pal, Madhura Pawar
2024 J jnl
In-Context Learning Improves Compositional Understanding of Vision-Language Models.
CoRR
Matteo Nulli, Anesa Ibrahimi, Avik Pal, Hoshe Lee, Ivona Najdenkoska
2024 J jnl
NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia.
CoRR
Avik Pal, Flemming Holtorf, Axel Larsson, Torkel E. Loman, Utkarsh Rajput, Frank Schäfer, Qingyu Qu, Alan Edelman, Chris Rackauckas
2024 J jnl
[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation.
CoRR
Slawomir Garcarz, Avik Pal, Pim Praat
2023 — conf
Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity.
HPEC
Avik Pal, Alan Edelman, Chris Rackauckas
2023 J jnl
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed!
CoRR
Avik Pal, Alan Edelman, Chris Rackauckas
2023 A* conf
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!
ICML
Avik Pal, Alan Edelman, Christopher Vincent Rackauckas
2022 — conf
Composing Modeling And Simulation With Machine Learning In Julia.
ANNSIM
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
2022 J jnl
Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs).
CoRR
Avik Pal, Alan Edelman, Christopher Rackauckas
2021 J jnl
Composing Modeling and Simulation with Machine Learning in Julia.
CoRR
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
2021 A* conf
Emergent Road Rules In Multi-Agent Driving Environments.
ICLR
Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler
2021 — conf
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness.
SemEval@ACL/IJCNLP
Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi
2021 J jnl
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness.
CoRR
Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi
2021 A* conf
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics.
ICML
Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Vincent Rackauckas
2021 J jnl
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics.
CoRR
Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Rackauckas
2021 J jnl
TorchGAN: A Flexible Framework for GAN Training and Evaluation.
J. Open Source Softw.
Avik Pal, Aniket Das
2020 J jnl
Emergent Road Rules In Multi-Agent Driving Environments.
CoRR
Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler
2019 J jnl
RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction.
CoRR
Avik Pal
2019 J jnl
TorchGAN: A Flexible Framework for GAN Training and Evaluation.
CoRR
Avik Pal, Aniket Das
2018 J jnl
Fashionable Modelling with Flux.
CoRR
Michael Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal, Viral B. Shah