Pytorch

Momentum

9 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 64

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  1. hyperbolix: Hyperbolic Deep Learning in JAX

    Sep 23, 2026Timo Klein, Thomas Lang, Yllka Velaj +1Hyperbolic LearningHyperbolic Space

  2. TNLearn: An Open Source Python Package for Task-based Neurons

    Sep 23, 2026Meng Wang, Tieyun Li, Juntong Fan +5NeuronsPytorch

  3. woma: a real-time foundation model and its fine-tuned models for endoscopy

    Sep 14, 2026Thang Tran, Lan DangColonoscopyWireless Foundation Models

  4. AMDKernelVault: Large-Scale Datasets and Agentic Training for AMD GPU Kernel Optimization

    Sep 14, 2026Ji Liu, Saptarshi Majumder, Yiqing Huang +14CudaPytorch

  5. SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing

    Sep 7, 2026Jannes Münchmeyer, Han Xiao, Frederik TilmannFull Waveform InversionForward-Looking Sonar

  6. PyDoseRT Proton: A GPU Pencil-Beam Engine with a Convolutional Residual-Correction Network for Fast Proton Dose Calculation

    Sep 1, 2026Lukas Zimmermann, Hermann Fuchs, Attila Simkó +1RadiotherapyDose

  7. RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

    Aug 12, 2026Jinjun Huang, Zhongzhen Wen, Tongtong Xu +3CudaLarge Language Model Benchmarks

  8. Tensor Network Kernel Machines: A JAX Framework for Machine Learning and Nonlinear System Identification

    Aug 7, 2026Albert Saiapin, Kim BatselierTensor NetworksNeural Tangent Kernel

  9. Contrast-invariant deep ptychography neural networks

    Aug 3, 2026Albert Vong, Steven Henke, Oliver Hoidn +6Neural ReconstructionParametric Physics-Informed Neural Network

  10. Tevatron Meets Megatron: Expert-Parallel LLM Reranker Training on an Academic Budget

    Aug 2, 2026Zhichao Xu, Xueguang Ma, Shengyao Zhuang +5Large Language Model RerankingCross-Encoder Reranking

  11. TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning

    Jul 30, 2026Brendan Kennedy, Tegan Emerson, Gregory Roek +2PytorchTopology

  12. It's All Just Vectorization: einx, a Universal Notation for Tensor Operations

    Jul 30, 2026Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner +1VectorizationTensor Networks

  13. How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF

    Jul 22, 2026Venkata Naga Sai Vishnu Rohit Pulipaka, Anish Katta, Deva Rohit Reddy PeddireddyDestination-Only ScoringFast Inference

  14. Benchmarking NACTI Species Recognition in Long-Tailed Regimes

    Jul 20, 2026Zehua Liu, Tilo BurghardtSpecies IdentificationRoadside Cameras

  15. FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

    Jul 20, 2026Peiyu Zang, Bosen Xie, Ruoxiang Xu +1Neural Partial Differential Equation SolversPytorch

  16. OpenLanguageModel: Readable and Composable Small-Language-Model Pretraining for Education and Research

    Jul 18, 2026Tavish Mankash, Vardhaman Kalloli, Keshava Prasad +1Pytorch

  17. Kiwano: A Cutting-Edge Open-Source Toolkit for Speaker Verification

    Jun 21, 2026Mickael Rouvier, Pierre Michel BousquetAutomatic Speaker VerificationSpeaker

  18. KANLib -- A Modular, Extensible and Fast Kolmogorov-Arnold Network Implementation

    Jun 16, 2026Julian Hoever, Gregor SchieleKolmogorov-Arnold NetworksMultilayer Perceptrons

  19. Agentic Framework for Deep Learning workload migration via In-Context Learning

    Jun 14, 2026Qiyue Liang, Steven Ingram, George Vanica +4PytorchAgentic Framework

  20. ANEForge: Python for direct computation on the Apple Neural Engine

    Jun 12, 2026Spencer H. BryngelsonPytorchPython

  21. A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting

    Jun 9, 2026Matthew Cong, Francis Williams, Jonathan Swartz +3Cpu-Gpu Hybrid DesignsNeural Reconstruction

  22. Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search

    Jun 8, 2026Haolin Pan, Lianghong Huang, Xvlin Zhou +2PytorchLatent Dynamics

  23. AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

    Jun 4, 2026Xuanzhe Li, Ziyan Weng, Zhiyu Zhu +1CudaPytorch

  24. nnAudio 2: Overcoming Dynamic Compilation Barriers and Transform Inconsistencies

    Jun 3, 2026Abhinaba Roy, Junyi Liang, Dorien HerremansNeural Audio CodecsPytorch

  25. Batched Differentiable Rigid Body Dynamics in PyTorch for GPU-Accelerated Robot Learning

    May 29, 2026Yue Wang, Yanran Xu, Wenbo Wu +2Rigid-Body DynamicsPytorch

  26. Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models

    May 25, 2026Inés Gonzalez-Pepe, Hiba Akhaddar, Tristan Glatard +1PytorchDeep Learning

  27. The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning

    May 21, 2026Lucas ShenemanPytorchNeural Network

  28. torchtune: PyTorch native post-training library

    May 20, 2026Mark Obozov, Maxime Griot, Joseph Cummings +8PytorchModel Fine-Tuning

  29. An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study

    May 19, 2026Luca Saverio, Michele Alessandro Bucci, Gianmarco Farro +2Neural Partial Differential Equation SolversPartial Differential Equations

  30. Lightweight Gaussian Process Inference in C++ on Metal and CUDA

    May 18, 2026Yu-Hsueh FangGaussian ProcessCpu-Gpu Hybrid Designs

  31. Venom: A PyTorch Generative Modeling Toolkit

    May 17, 2026Liang YanGenerative ModelsPytorch

  32. MiniGPT: Rebuilding GPT from First Principles

    May 17, 2026Jibin JosephAutoregressive Language ModelsGenerative Pretrained Transformers

  33. DeepLog: A Software Framework for Modular Neurosymbolic AI

    May 11, 2026Robin Manhaeve, Stefano Colamonaco, Vincent Derkinderen +4Neuro-Symbolic FrameworkDeep Learning Framework

  34. jNO: A JAX Library for Neural Operator and Foundation Model Training

    May 11, 2026Leon Armbruster, Rathan Ramesh, Georg Kruse +1Neural OperatorsJacobian

  35. Single-Thread JPEG Decoder Benchmarks Mis-Evaluate ML Data Loaders

    May 9, 2026Vladimir Iglovikov, Dmitry KosarevskyPytorchImagenet

  36. ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

    May 5, 2026Mergen Nachin, Digant Desai, Sicheng Stephen Jia +36PytorchEdge Devices

  37. Tile-Level Activation Overlap for Efficient LLM Inference

    May 5, 2026Abhinav Jangda, Tyler Sorensen, Sebastian Burckhardt +3PytorchMultilayer Perceptrons

  38. Differentiable Kernel Ridge Regression for Deep Learning Pipelines

    May 4, 2026Jean-Marc Mercier, Gabriele SantinKernel Ridge RegressionKernel Method

  39. VkSplat: High-Performance 3DGS Training in Vulkan Compute

    Apr 30, 2026Jingxiang Chen, Mohamed Ibrahim, Yang LiuPytorch

  40. HubRouter: A Pluggable Sub-Quadratic Routing Primitive for Hybrid Sequence Models

    Apr 24, 2026Abhinaba BasuTransformer AttentionSequence Modeling

  41. mlr3torch: A Deep Learning Framework in R based on mlr3 and torch

    Apr 20, 2026Sebastian Fischer, Lukas Burk, Carson Zhang +2Deep Learning FrameworkPytorch

  42. Dispatch-Aware Ragged Attention for Pruned Vision Transformers

    Apr 16, 2026Seifeldin Abdellatif, Ahmad AlmasriVisual Token PruningBlock Sparse Flash Attention

  43. NewsTorch: A PyTorch-based Toolkit for Learner-oriented News Recommendation

    Apr 16, 2026Rongyao Wang, Veronica Liesaputra, Zhiyi HuangHeadlinesPytorch

  44. KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models

    Mar 2, 2026Songming Zhang, Xue Zhang, Tong Zhang +3Knowledge DistillationDataset Distillation

  45. DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce

    Feb 9, 2026Wenchen Han, Shay Vargaftik, Michael Mitzenmacher +1Gradient QuantizationPytorch