| Proximal basin hopping: global optimization with guarantees added by Syntology |
2026-05 (from id) |
apple/ml-scalefit/src/scalefit/optim.py cc38e9e3e8649735 |
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| GRASP -Graph-Based Anomaly Detection Through Self-Supervised Classification added by Syntology |
2026-05 (from id) |
ubc-provenance/PIDSMaker/pidsmaker/losses.py 96ebabff045fe107 |
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Apache-2.0 (permissive) |
| Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries added by Syntology |
2026-04 (from id) |
NatLabRockies/BatFIT/batfit/model/param_utils/losses.py 22a25d48c7b271f4 |
unverified |
BSD-3-Clause (permissive) |
| Variational Flow Maps: Make Some Noise for One-Step Conditional Generation added by Syntology |
2026-03 (from id) |
abbasmammadov/VFM/loss.py b766939802ffeabc |
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| Variational Autoencoder with Normalizing flow for X-ray spectral fitting added by Syntology |
2026-01 (from id) |
fi-redmen/fspnet-var/fspnetvar/main_VAE.py 8159e31cf9e2b274 |
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MIT (permissive) |
| Guided Diffusion Sampling on Function Spaces with Applications to PDEs |
22 May 2025 |
neuraloperator/fundps/generation/dps.py 8be214b363325c85 |
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| AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training |
22 May 2025 |
pytorch/torchtitan/torchtitan/components/loss.py 31353f5145945f23 |
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| Understanding Optimization in Deep Learning with Central Flows |
31 Oct 2024 |
centralflows/centralflows/src/loss_criterion.py 0ef8c1200f922298 |
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| bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction |
30 Oct 2024 |
lyehe/ssunet/src/ssunet/losses.py 11c7c150ee19c19c |
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| ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation |
29 Oct 2024 |
shenoynikhil/ETFlow/etflow/models/loss.py 0a1255a314f3751e |
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MIT (permissive) |
| Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems |
2 Oct 2024 |
alejandro-neuro/learning_physics_from_video/src/loss_func.py c4226f0238390646 |
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| LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU |
26 Aug 2024 |
zp1481616577/baselines_lsr-igru/18_THGNN/5_model_train_predict.py 34cb04f05ddddabd |
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| Taming the Frequency Factory of Sinusoidal Networks |
30 Jul 2024 |
DianaPat/TUNER/train_siren.py 53bcbe746d9d2821 |
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| Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration |
26 Jun 2024 |
kangliao929/noise-da/models/loss.py 632959a67ae7fdac |
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| CausalFormer: An Interpretable Transformer for Temporal Causal Discovery |
24 Jun 2024 |
lingbai-kong/causalformer/model/loss.py 5c93bdc24368bfe7 |
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| Why Warmup the Learning Rate? Underlying Mechanisms and Improvements |
13 Jun 2024 |
dayal-kalra/why-warmup/vision/mechanisms/utils/loss_utils.py 8294c2b79bb5a70f |
ran
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MIT (permissive) |
| Scaling Laws for Galaxy Images |
3 Apr 2024 |
identical code first harvested elsewhere fa6afbeecc62599a |
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| Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss |
2 Apr 2024 |
JaehaKim97/SR4IR/src/losses/common.py baa6a59b3b8fcaba |
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| Reliable Conflictive Multi-View Learning |
24 Feb 2024 |
jiajunsi/RCML/loss_function.py 0bdb94efd7bad456 |
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| Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer |
19 Dec 2023 |
google-deepmind/deepmind-research/galaxy_mergers/losses.py b914b7fa073cd865 |
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| Multi-scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models |
2023-12 (from id) |
smartturb/palette-turb/models/loss.py 632959a67ae7fdac |
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MIT (permissive) |
| LLM360: Towards Fully Transparent Open-Source LLMs |
11 Dec 2023 |
llm360/analysis360/analysis/unlearning/methods/utils.py 14dfcec18a4f05ab |
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| Learning Time-Invariant Representations for Individual Neurons from Population Dynamics |
3 Nov 2023 |
lumimim/NeuPRINT/loss_function.py 2e91a0aa058296be |
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| TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression |
29 Oct 2023 |
vita-epfl/TIC-TAC/HumanPose/code/loss.py 4231bb1842ed8fa0 |
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| Clairvoyance: A Pipeline Toolkit for Medical Time Series |
28 Oct 2023 |
vanderschaarlab/clairvoyance/utils/model_utils.py 5d4004d12c8a81ae |
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| Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias |
12 Oct 2023 |
MaxSobolMark/OOO/OOO_for_calql/jax_utils.py cc35af8b18b7dc58 |
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| Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models |
11 Oct 2023 |
ryliu68/CDMA/models/loss.py 632959a67ae7fdac |
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MIT (permissive) |
| Galaxy Zoo DESI: Detailed Morphology Measurements for 8.7M Galaxies in the DESI Legacy Imaging Surveys |
2023-09 (from id) |
identical code first harvested elsewhere fa6afbeecc62599a |
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| arXiv:2309.10790 |
2023-09 (from id) |
csmile-1006/ARP/arp_dt/ARPDT.py cc35af8b18b7dc58 |
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MIT (permissive) |
| Single-User Injection for Invisible Shilling Attack against Recommender Systems |
21 Aug 2023 |
kdegroup/sui-attack/models/recommender/WMF.py e69b19a3945839ac |
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| DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images |
8 Aug 2023 |
xavierjiezou/diffcr/models/loss.py 632959a67ae7fdac |
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| Highly Accurate Prediction of NMR Chemical Shifts from Low-Level Quantum Mechanics Calculations Using Machine Learning |
2023-06 (from id) |
thglab/ishiftml/scripts/active_learning/run_attention_aev.py 1452739b457d7e8f |
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| High-Fidelity Audio Compression with Improved RVQGAN |
11 Jun 2023 |
DBraun/DAC-JAX/src/dac_jax/nn/quantize.py dff46a2b65e582bd |
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MIT (permissive) |
| A unified framework for machine learning collective variables for enhanced sampling simulations: $\texttt{mlcolvar}$ |
2023-05 (from id) |
luigibonati/mlcolvar/mlcolvar/core/loss/mse.py d3dc6cad300a0ac1 |
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MIT (permissive) |
| GSURE-Based Diffusion Model Training with Corrupted Data |
22 May 2023 |
bahjat-kawar/gsure-diffusion/generate.py 632959a67ae7fdac |
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| Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder |
7 Apr 2023 |
llien30/point_cloud_anomaly_detection/libs/loss.py 3ea6f5d1d3d84bb4 |
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| Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width |
23 Feb 2023 |
dayal-kalra/early-training/train_mse_utils.py 6ba7e3ed6f5edd4c |
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| QARV: Quantization-Aware ResNet VAE for Lossy Image Compression |
16 Feb 2023 |
duanzhiihao/lossy-vae/lvae/models/qarv/model.py 32c3bf121730c812 |
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| INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging |
6 Feb 2023 |
Aminsheykh98/INCREASE-pytorch/utils.py f78a0512400bee8b |
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| Differentially Private Adaptive Optimization with Delayed Preconditioners |
1 Dec 2022 |
kenziyuliu/dp2/trainers/dp2_adagrad.py f320dea1d5541ada |
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| Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks |
1 Nov 2022 |
royalskye/atcl/utils_mcl_loss.py 8fe8574aa87205c2 |
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| Instruction-Following Agents with Multimodal Transformer |
24 Oct 2022 |
lhao499/instructrl/instructrl/model.py cc35af8b18b7dc58 |
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| Mutual Information Regularized Offline Reinforcement Learning |
14 Oct 2022 |
sail-sg/MISA/utilities/jax_utils.py cc35af8b18b7dc58 |
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| Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning |
31 May 2022 |
BerenMillidge/infinitesimal_inference_limit/utils.py ebe0a5b3f1d6acea |
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| Transformer for Partial Differential Equations' Operator Learning |
26 May 2022 |
BaratiLab/OFormer/BVP/train_magneto.py 4762fef4996d2a13 |
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| Faster Deep Reinforcement Learning with Slower Online Network |
10 Dec 2021 |
amazon-research/fast-rl-with-slow-updates/dopamine/jax/losses.py 1c9e08f4b6f3cca7 |
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| Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash |
12 Nov 2021 |
ml-research/Learning-to-Break-Deep-Perceptual-Hashing/losses/mse_loss.py 74e2bf38733ce1eb |
unverified |
MIT (permissive) |
| Practical Galaxy Morphology Tools from Deep Supervised Representation Learning |
25 Oct 2021 |
identical code first harvested elsewhere fa6afbeecc62599a |
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| 3D Pose Transfer with Correspondence Learning and Mesh Refinement |
30 Sep 2021 |
chaoyuesong/3d-corenet/util/util.py 14bc9ece05320ff9 |
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| Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme |
28 Sep 2021 |
trinhtuanvubk/diff-vc/model/utils.py e34c9a8aed8fe01a |
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| What can linearized neural networks actually say about generalization? |
12 Jun 2021 |
gortizji/linearized-networks/utils/loss.py 82c402b4b47c433b |
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MIT (permissive) |
| All you need are a few pixels: semantic segmentation with PixelPick |
13 Apr 2021 |
yazdaniamir38/madbal/utils/losses.py b68a8578f8b27ceb |
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MIT (permissive) |
| Wireframe-Based UI Design Search Through Image Autoencoder |
2021-03 (from id) |
chenjshnn/WAE/code/Model_AE2.py cbaa9dedaf86a048 |
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| Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies |
16 Feb 2021 |
mwalmsley/zoobot/zoobot/pytorch/training/finetune.py fa6afbeecc62599a |
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| Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 |
23 Sep 2020 |
AdityaLab/CALI-Net/EpiDeepCN.py a9112f31ad8528f2 |
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MIT (permissive) |
| Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders |
23 Jun 2020 |
ninatu/anomaly_detection/anomaly_detection/dpa/losses.py 0c6060d9692f443f |
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Apache-2.0 (permissive) |
| Conservative Q-Learning for Offline Reinforcement Learning |
8 Jun 2020 |
young-geng/jaxcql/JaxCQL/jax_utils.py cc35af8b18b7dc58 |
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| Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution |
3 May 2020 |
RaoUmer/SRResCGAN/training_codes/modules/l2proj.py b796a109116d0d4e |
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| Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms |
22 Apr 2020 |
deepskies/DeeplyUncertain-Public/models/cd.py 2096dc49ec86fdfc |
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| TAPER: Time-Aware Patient EHR Representation |
11 Aug 2019 |
sajaddarabi/TAPER/model/loss.py 523c0753413864a2 |
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MIT (permissive) |
| Evaluating Protein Transfer Learning with TAPE |
19 Jun 2019 |
googleinterns/protein-embedding-retrieval/contextual_lenses/loss_fns.py eafa5a8ead83133c |
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| DeepMoD: Deep learning for Model Discovery in noisy data |
20 Apr 2019 |
PhIMaL/DeePyMoD_torch/src/deepymod_torch/losses.py f0384fcc975040e9 |
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MIT (permissive) |
| Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders |
17 Jan 2019 |
omiethescientist/HyperbolicDeepLearning/HVAE/Loss.py 09149c204a657b8c |
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MIT (permissive) |
| Learning Compressed Transforms with Low Displacement Rank |
4 Oct 2018 |
HazyResearch/structured-nets/pytorch/utils.py 77458eee7fb25de2 |
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| Iterative Joint Image Demosaicking and Denoising using a Residual Denoising Network |
16 Jul 2018 |
cig-skoltech/deep_demosaick/l2proj.py b796a109116d0d4e |
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MIT (permissive) |
| Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders |
27 Apr 2018 |
ananyahjha93/challenges-in-disentangling/utils.py 59048fa620bc0bfb |
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MIT (permissive) |
| CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning |
14 Nov 2017 |
SenWu/emmental-tutorials/glue/glue_tasks.py 7807bb921c12897c |
unverified |
MIT (permissive) |
| Neural Discrete Representation Learning |
2 Nov 2017 |
yjlolo/vae-audio/model/loss.py 3b8e8d5673b757b1 |
unverified |
MIT (permissive) |
| Exponential Machines |
12 May 2016 |
Bihaqo/exp-machines/src/objectives/mse.py 0d600fb27ccb9e14 |
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MIT (permissive) |
| Continuous control with deep reinforcement learning |
9 Sep 2015 |
Souphis/mobile_robot_rl/mobile_robot_rl/agents/sac.py d08ac0b87604485e |
ran · our draft was wrong
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xxyufeng/Stability-and-Generalization-of-ASGD/dataset_and_model.py 1f5a24b050fc82ed |
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alcorreia/cm-tpm/utils/losses.py ed0355cbef5410f6 |
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| arXiv:Chen_MagicNet_Semi-Supervised_Multi-Organ_Segmentation_via_Magic-Cube_Partition_and_Recovery_CVPR_2023_paper |
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DeepMed-Lab-ECNU/MagicNet/code/utils/losses.py 3075d27cf309faa5 |
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