| Fashionable Modelling with Flux M Innes, E Saba, K Fischer, D Gandhi, MC Rudilosso, NM Joy, T Karmali, ... NeurIPS Workshop on Systems for Machine Learning (MLSys), 2018 | 278* | 2018 |
| Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics A Pal, Y Ma, V Shah, C Rackauckas ICML 38, 8325 - 8335, 2021 | 48 | 2021 |
| Composing Modeling and Simulation with Machine Learning in Julia C Rackauckas, R Anantharaman, A Edelman, S Gowda, M Gwozdz, ... International Modelica Conference, 2021 | 26 | 2021 |
| Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity A Pal, A Edelman, C Rackauckas IEEE HPEC (Best Student Paper), 2023 | 22* | 2023 |
| Emergent Road Rules In Multi-Agent Driving Environments A Pal, J Philion, YH Liao, S Fidler ICLR, 2020 | 22 | 2020 |
| On Efficient Training & Inference of Neural Differential Equations A Pal Massachusetts Institute of Technology, 2023 | 20* | 2023 |
| TorchGAN: A Flexible Framework for GAN Training and Evaluation A Pal*, A Das* Journal of Open Source Software 6, 2606, 2019 | 20 | 2019 |
| NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia A Pal, F Holtorf, A Larsson, T Loman, F Schaefer, Q Qu, A Edelman, ... arXiv preprint arXiv:2403.16341, 2024 | 14 | 2024 |
| Differentiable Programming for Differential Equations: A Review F Sapienza, J Bolibar, F Schäfer, B Groenke, A Pal, V Boussange, ... arXiv preprint arXiv:2406.09699, 2024 | 11 | 2024 |
| Stably accelerating stiff quantitative systems pharmacology models: Continuous-time echo state networks as implicit machine learning R Anantharaman, A Abdelrehim, A Jain, A Pal, D Sharp, A Edelman, ... IFAC-PapersOnLine 55 (23), 1-6, 2022 | 8 | 2022 |
| Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness A Gupta*, A Pal*, B Khurana*, L Tyagi*, A Modi International Workshop on Semantic Evaluation (SemEval Task-7) 15, 290-296, 2021 | 7 | 2021 |
| Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! A Pal, A Edelman, C Rackauckas ICML 40, 2023 | 4 | 2023 |
| RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction A Pal Proceedings of the JuliaCon Conferences 1 (1), 37, 2019 | 4 | 2019 |
| Understanding the Limitations of B-Spline KANs: Convergence Dynamics and Computational Efficiency A Pal, D Das NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning, 2024 | 1 | 2024 |
| Efficient GPU-Accelerated Global Optimization for Inverse Problems VK Dixit, J Samaroo, A Pal, A Edelman, CV Rackauckas ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
| Stochastic Gradient Methods for Markov Chain Monte Carlo A Pal, J Ranwka, R Sharma | | |
Keno FischerJuliaHub, Inc.確認したメール アドレス: juliahub.com