| A Theory of Finite-Noise Optima and Generalization in Quantum Machine Learning added by Syntology |
2026-08 (from id) |
dongsnaq/Finite-Noise-Generalization-QML/code/evaluate_four_qubit_checkpoint.py e06f503cace0223b |
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MIT (permissive) |
| An Empirical Benchmark of Deep Time-Series Models for Smart Meter Energy Forecasting added by Syntology |
2026-08 (from id) |
behnazkavoosi/Energy-Time-Series-Library/compute_metrics.py 2b6fd75c6acd97d9 |
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MIT (permissive) |
| Sample Complexity of Scientific Discovery: PAC Learnability of Compositional Function Trees added by Syntology |
2026-06 (from id) |
suayptalha/scientific-pac/run_experiments.py 9e5d916d0d4b1e82 |
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Apache-2.0 (permissive) |
| TS-Fault: Benchmarking Time Series Forecasters Against Structural Faults added by Syntology |
2026-06 (from id) |
Ray-zyy/TS-Fault/eval_foundation_phase1.py 2b6fd75c6acd97d9 |
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| Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging added by Syntology |
2026-04 (from id) |
tianweiy/SeqMRI/activemri/baselines/loupe_codes/evaluate.py f8ee64e99d4c3f8e |
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MIT (permissive) |
| Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models added by Syntology |
2026-03 (from id) |
hmkx/NVRC/losses.py 1a1a61c85538d493 |
unverified |
MIT (permissive) |
| Video-based Music Generation added by Syntology |
2026-02 (from id) |
serkansulun/deep-music-enhancer/src/utils.py 0f4b88ac326d4d6e |
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| Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization added by Syntology |
2026-01 (from id) |
Laixin233/-Reinforced-Encoder/task/metric.py 87cd593720824374 |
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| Self-Supervised Dynamical System Representations for Physiological Time-Series added by Syntology |
2025-12 (from id) |
yuqinie98/PatchTST/PatchTST_self_supervised/src/metrics.py 5ef21ce9effc9300 |
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Apache-2.0 (permissive) |
| GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors added by Syntology |
13 Aug 2025 |
GVCLab/GSFixer/Reconstruction/gsfixer/cogvideo/image_utils.py 6e14e874e7f40344 |
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| Nonlinear dynamics of localization in neural receptive fields |
28 Jan 2025 |
leonlufkin/localization/localization/experiments/autoencode.py da25ee551fb3f3c2 |
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| GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian Supervision |
24 Nov 2024 |
xubaixinxbx/gsurf/utils/image_utils.py 6e14e874e7f40344 |
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| SplatFormer: Point Transformer for Robust 3D Gaussian Splatting |
10 Nov 2024 |
ChenYutongTHU/SplatFormer/utils/metrics.py 6e14e874e7f40344 |
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| ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer |
4 Nov 2024 |
microsoft/ProbTS/probts/utils/metrics.py 02b65b093a712e17 |
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MIT (permissive) |
| pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization |
1 Nov 2024 |
matt-bendel/pcaGAN/evaluation_scripts/metrics.py 70382aaffa12c6ae |
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| pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization |
1 Nov 2024 |
matt-bendel/pcaGAN/fastmri/evaluate.py 5718f716f3ed5309 |
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| Metalic: Meta-Learning In-Context with Protein Language Models |
10 Oct 2024 |
instadeepai/metalic/meta/tasks/metrics.py d884cc8e472e6f1e |
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| Metalic: Meta-Learning In-Context with Protein Language Models |
10 Oct 2024 |
instadeepai/metalic/meta/models/losses.py d1dcb1c8bd375716 |
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Apache-2.0 (permissive) |
| Decoder ensembling for learned latent geometries |
14 Aug 2024 |
mustass/ensertainty/src/ensertainty/training/losses.py 378971fda6e4fc8f |
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| Temporal Feature Matters: A Framework for Diffusion Model Quantization |
28 Jul 2024 |
modeltc/tfmq-dm/quant/quant_layer.py 180ea8ce084d4e63 |
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Apache-2.0 (permissive) |
| xLSTMTime : Long-term Time Series Forecasting With xLSTM |
14 Jul 2024 |
muslehal/xLSTMTime/src/metrics.py 5ef21ce9effc9300 |
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MIT (permissive) |
| Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy |
10 Jul 2024 |
brownirl/lambda_discrepancy/lamb/utils/loss.py b0113ccd72a50376 |
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Apache-2.0 (permissive) |
| A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models |
5 Jun 2024 |
layer6ai-labs/flipd/lid/evaluation/lid_evaluation.py 17b642db91f20cc2 |
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| When does compositional structure yield compositional generalization? A kernel theory |
26 May 2024 |
sflippl/compositional-generalization/simple_compositional_tasks/models/kernel_machines.py 577f80aee94bb229 |
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| Finding Visual Task Vectors |
8 Apr 2024 |
alhojel/visual_task_vectors/evaluate/collect_attention_heads.py abe146eee6ac945e |
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| Model-based Reinforcement Learning for Parameterized Action Spaces |
3 Apr 2024 |
valarzz/dlpa/utils.py 8d8f088c9186b5d4 |
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| CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field |
24 Mar 2024 |
hjr37/CG-SLAM/gaussian_utils/image_utils.py 6e14e874e7f40344 |
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Apache-2.0 (permissive) |
| A path-dependent PDE solver based on signature kernels |
2024-03 (from id) |
crispitagorico/sigppde/utils.py 63ce428d5d71c27c |
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MIT (permissive) |
| NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging |
6 Mar 2024 |
univ-esuty/noisecollage/evaluation/model.py edf5d54bc7a50c95 |
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| Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting |
8 Jan 2024 |
pengxin-guo/adcsd/libcity/evaluator/eval_funcs.py a57096075ed5bfb9 |
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| Splatter Image: Ultra-Fast Single-View 3D Reconstruction |
20 Dec 2023 |
szymanowiczs/splatter-image/utils/image_utils.py 6e14e874e7f40344 |
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| Low-latency Space-time Supersampling for Real-time Rendering |
18 Dec 2023 |
ryanhe312/STSSNet-AAAI2024/utils/metrics.py 950a7e63666ebcd1 |
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| PINNs-TF2: Fast and User-Friendly Physics-Informed Neural Networks in TensorFlow V2 |
2023-11 (from id) |
rezaakb/pinns-tf2/pinnstf2/models/pinn_module.py 6f9e4d28b5a00599 |
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BSD-3-Clause (permissive) |
| Multi Time Scale World Models |
27 Oct 2023 |
ALRhub/MTS3/utils/Losses.py 278f1cd19d7744ca |
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| TD-MPC2: Scalable, Robust World Models for Continuous Control |
25 Oct 2023 |
nicklashansen/tdmpc/src/algorithm/tdmpc.py 8d8f088c9186b5d4 |
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| NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions |
27 Sep 2023 |
oppo-us-research/NeuRBF/util_metric.py cfbc1c66cbef55ea |
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MIT (permissive) |
| Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models |
12 Sep 2023 |
z-fabian/flash-diffusion/data_utils/metrics.py 0e2aa355c1e01fce |
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| HEAL-SWIN: A Vision Transformer On The Sphere |
14 Jul 2023 |
janegerken/heal-swin/heal_swin/training/loss_depth_regression.py 920963401bbcecee |
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| Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression |
26 Jun 2023 |
mansheej/icl-task-diversity/icl/evaluate.py 662cd4052f4fb4cd |
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| Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time |
7 Jun 2023 |
toonvds/tesar-cde/src/utils/losses.py 58188f1c56c152d6 |
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| Representation Learning via Manifold Flattening and Reconstruction |
2 May 2023 |
michael-psenka/manifold-linearization/experiments-paper/reconstruction_comparison.py efe784867ef4aeeb |
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| LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction |
27 Apr 2023 |
libcity/bigscity-libcity/libcity/evaluator/eval_funcs.py 96dff086a8a8530c |
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| MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations |
12 Dec 2022 |
facebookresearch/modem/algorithm/helper.py 8d8f088c9186b5d4 |
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| Musika! Fast Infinite Waveform Music Generation |
18 Aug 2022 |
marcoppasini/musika/losses.py 584e0124c4b58901 |
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MIT (permissive) |
| Rewriting Geometric Rules of a GAN |
28 Jul 2022 |
peterwang512/ganwarping/lib/quality_assess.py f96cfe5e20ab9852 |
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MIT (permissive) |
| Decomposing NeRF for Editing via Feature Field Distillation |
31 May 2022 |
kwea123/ngp_pl/metrics.py c832923b546e9fb3 |
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| SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image |
2 Apr 2022 |
VITA-Group/SinNeRF/metrics.py c832923b546e9fb3 |
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| DFNet: Enhance Absolute Pose Regression with Direct Feature Matching |
1 Apr 2022 |
activevisionlab/dfnet/script/models/metrics.py c832923b546e9fb3 |
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MIT (permissive) |
| MINER: Multiscale Implicit Neural Representations |
7 Feb 2022 |
kwea123/MINER_pl/metrics.py c065caea05d186cd |
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| Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization |
1 Feb 2022 |
mselezniova/ntk_beyond_limit/ntk_train_dynamics.py 8d643619024dd1d7 |
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| GREED: A Neural Framework for Learning Graph Distance Functions |
24 Dec 2021 |
idea-iitd/greed/neuro/metrics.py 706a15018478eff5 |
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MIT (permissive) |
| Learning Neural Light Fields with Ray-Space Embedding Networks |
2 Dec 2021 |
facebookresearch/neural-light-fields/metrics.py c832923b546e9fb3 |
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| Long-Range Transformers for Dynamic Spatiotemporal Forecasting |
24 Sep 2021 |
qdata/spacetimeformer/spacetimeformer/eval_stats.py 67d323a0c9f620a9 |
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MIT (permissive) |
| Federated Multi-Task Learning under a Mixture of Distributions |
23 Aug 2021 |
omarfoq/FedEM/utils/metrics.py e5d7e349519111ef |
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Apache-2.0 (permissive) |
| HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields |
24 Jun 2021 |
songrise/HyperNeRF-torch/metrics.py c832923b546e9fb3 |
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MIT (permissive) |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting |
22 Mar 2021 |
pedrolarben/TimeSeriesForecasting-DeepLearning/experiments/metrics.py 1f58b5eb5d9d6a28 |
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MIT (permissive) |
| Experimental design for MRI by greedy policy search |
30 Oct 2020 |
Timsey/pg_mri/src/reconstruction_model/reconstruction_model_utils.py f8ee64e99d4c3f8e |
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MIT (permissive) |
| Graph Neural Networks for an Accurate and Interpretable Prediction of the Properties of Polycrystalline Materials |
2020-10 (from id) |
mehmetfdemirel/PolycrystalGraph/util.py bbe34e6b22b47916 |
unverified |
MIT (permissive) |
| Physical invariance in neural networks for subgrid-scale scalar flux modeling |
9 Oct 2020 |
hrkz/SubgridTransportNN/src/evals.py a10711555d371e6b |
unverified |
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| SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates |
24 Aug 2020 |
Lingkai-Kong/SDE-Net/YearMSD/SDE_regression.py 79bd575f8de311d9 |
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| Deep learning the spanwise-averaged Navier--Stokes equations |
2020-08 (from id) |
b-fg/SANSpy/sanspy/losses.py a2f9dcde8c8a8ae5 |
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MIT (permissive) |
| NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections |
5 Aug 2020 |
kwea123/nerf_pl/metrics.py c832923b546e9fb3 |
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MIT (permissive) |
| A Class of Algorithms for General Instrumental Variable Models |
11 Jun 2020 |
nikikilbertus/general-iv-models/src/kiv.py 202bb2cafdd7e03f |
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| Deep Learning for Time Series Forecasting: Tutorial and Literature Survey |
21 Apr 2020 |
potosnakw/neuralforecast/neuralforecast/losses/numpy.py 9edcb6c054647729 |
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| Big Transfer (BiT): General Visual Representation Learning |
24 Dec 2019 |
batsresearch/taglets/taglets/labelmodel/amcl_helper.py 4b28a291d70a1b4b |
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| $Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction |
18 Dec 2019 |
khammernik/sigmanet/reconstruction/common/evaluate.py f8ee64e99d4c3f8e |
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MIT (permissive) |
| A coupled autoencoder approach for multi-modal analysis of cell types |
6 Nov 2019 |
AllenInstitute/coupledAE/coupling_functions.py 931c8a84f9b0de00 |
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MIT (permissive) |
| Combining Generative and Discriminative Models for Hybrid Inference |
6 Jun 2019 |
vgsatorras/hybrid-inference/evaluation.py 1d0741e1c7376a3e |
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MIT (permissive) |
| N-BEATS: Neural basis expansion analysis for interpretable time series forecasting |
24 May 2019 |
MLD3/Deep-Residual-Time-Series-Forecasting/drtf.py f0085a43c76debf6 |
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| Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks |
15 May 2019 |
tae898/age-gender/model/loss.py 1dc2c8c98c52e761 |
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Apache-2.0 (permissive) |
| A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference |
8 Jan 2019 |
Neronjust2017/BayesianCNN/metrics.py 6c4f18c203fe16d2 |
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MIT (permissive) |
| Learning Speaker Representations with Mutual Information |
1 Dec 2018 |
Js-Mim/rl_singing_voice/nn_modules/losses.py b56fa43cfb65baf6 |
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MIT (permissive) |
| Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks |
9 Mar 2017 |
lgcollins/tr-maml/sinusoid/maml.py 44ef1cbe96c1a0d4 |
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| Input Convex Neural Networks |
22 Sep 2016 |
locuslab/icnn/completion/icnn_ebundle.py 49b3c2389c985e00 |
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| Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network |
15 Sep 2016 |
jason-zl190/sisr/trainer/utils/losses.py 80be2a8c74edf6d9 |
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| Densely Connected Convolutional Networks |
25 Aug 2016 |
hycis/TensorGraph/tensorgraph/cost.py bd9a2c9a7ed3dff5 |
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| Image Super-Resolution Using Deep Convolutional Networks |
31 Dec 2014 |
TanakitInt/SRCNN-anime/image-quality-assessment.py 690d75d5003fb9c9 |
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MIT (permissive) |
| Convolutional Neural Networks for Sentence Classification |
25 Aug 2014 |
piyush2896/CNN-Text-Classifier/nn/losses.py 8197ee6236e68110 |
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MIT (permissive) |
| ADADELTA: An Adaptive Learning Rate Method |
22 Dec 2012 |
Arko98/Gradient-Descent-Algorithms/Algorithms/Adagrad.py a9abce3860e6e7d8 |
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MIT (permissive) |
| arXiv:Huang_TFMQ-DM_Temporal_Feature_Maintenance_Quantization_for_Diffusion_Models_CVPR_2024_paper |
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ModelTC/TFMQ-DM/quant/quant_layer.py 180ea8ce084d4e63 |
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