| LoRA-TSD: Tangent-Space Spectral Descent for LoRA via Muon-Style Updates added by Syntology |
2026-09 (from id) |
brain-lab-research/LoRA-TSD/src/optimizers/lora_tsd.py 42c1e5e5c2470c48 |
unverified |
MIT (permissive) |
| Foundations of Reinforcement Learning and Control: Connections and New Perspectives added by Syntology |
2026-08 (from id) |
onnoeberhard/forlac-tutorial/mrac.py 2560d2fda0296f12 |
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| Binding Drift in Multi-Step Tool-Augmented Agents added by Syntology |
2026-07 (from id) |
shashank-indukuri/binding-drift/code/aggregate_results.py bf2af8fba1d08847 |
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MIT (permissive) |
| Annealing in variational inference mitigates mode collapse: A theoretical study on Gaussian mixtures added by Syntology |
2026-02 (from id) |
Luijios/annealed_vi_gmms/src/utils.py ab261af3abd042a6 |
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| Rendering Data Unlearnable by Exploiting LLM Alignment Mechanisms added by Syntology |
2026-01 (from id) |
cat-claws/unlearnable/grad.py d1249f7f35b74dfa |
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| WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference |
26 May 2025 |
microsoft/wina/wina/greedyopt.py 620a529f603f65ec |
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| Quantum Optimization via Gradient-Based Hamiltonian Descent |
20 May 2025 |
jiaqileng/gradient-based-qhd/convex_optim.py 79551e8e8ab3e337 |
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| Quantum Optimization via Gradient-Based Hamiltonian Descent |
20 May 2025 |
jiaqileng/gradient-based-qhd/styblinski_tang.py cf69a4ee90924580 |
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| Quantum Optimization via Gradient-Based Hamiltonian Descent |
20 May 2025 |
jiaqileng/gradient-based-qhd/nonconvex_optim.py 7e5517769dd75a5c |
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| Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning |
11 Feb 2025 |
allanraventos/refine/refine/training/loss_functions.py 40a1820babef89cf |
unverified |
MIT (permissive) |
| Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning |
11 Feb 2025 |
allanraventos/refine/refine/training/NCO.py f771bfcb5cd13900 |
unverified |
MIT (permissive) |
| D-Flow: Multi-modality Flow Matching for D-peptide Design |
2024-11 (from id) |
smiles724/peptidedesign/dflow/models/adjoint.py 11c3c2c25a443605 |
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| AI-Aided Kalman Filters |
16 Oct 2024 |
shlezingerlab/ai_aided_kfs/DANSE_KTH/rtsnet_params.py 7951faeb33ad1704 |
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| High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching |
14 Oct 2024 |
Leyangw/tsm/demo_ROC_ratio.py 631440f27a7b5919 |
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MIT (permissive) |
| Robustness Auditing for Linear Regression: To Singularity and Beyond |
10 Oct 2024 |
ittai-rubinstein/ols_robustness/src/lower_bounds/amip.py eff9e12561a99df1 |
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| EMIT- Event-Based Masked Auto Encoding for Irregular Time Series |
25 Sep 2024 |
hrishi-ds/EMIT/src/data_preprocessing/preprocess_mimic_iii.py 06ddfb40099e743b |
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MIT (permissive) |
| EMIT- Event-Based Masked Auto Encoding for Irregular Time Series |
25 Sep 2024 |
hrishi-ds/EMIT/src/data_preprocessing/preprocess_mimic_iii.py 2ff0290f2f537f28 |
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MIT (permissive) |
| Spectral Representation for Causal Estimation with Hidden Confounders |
15 Jul 2024 |
haotiansun14/SpecIV/dataset/demand_design_dataset.py 2c0fdf3729b3cd17 |
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| Diagnosing and fixing common problems in Bayesian optimization for molecule design |
11 Jun 2024 |
AustinT/basic-mol-bo-workshop2024/figures/pitfalls.py 31abebbd517e0a66 |
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MIT (permissive) |
| Not All Language Model Features Are Linear |
23 May 2024 |
joshengels/multidimensionalfeatures/feature_deconstruction/simple_example.py 35bb96ea1f68e1fc |
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MIT (permissive) |
| Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation |
10 May 2024 |
p-b-u/proxy_based_uncertainty/Proxy-Uncertainty-Training-LLaMa-Factory/src/llmtuner/tuner/rm/trainer.py ffb5940236d57cb1 |
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| Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs |
8 May 2024 |
psc25/mlpjumps/counterparty_expVG_mlp.py ce609ef82b955f25 |
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| Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs |
8 May 2024 |
psc25/mlpjumps/default_bs_mlp.py dbe497784c46be0a |
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| Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs |
8 May 2024 |
psc25/randomdeepsplitting/default_bs_dspl.py c8e2e56a43d9baf2 |
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| CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning |
15 Mar 2024 |
LeeHyuck/CDMAD/fixmatchcdmad.py 73eab42215d7c5fb |
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| Trust Regions for Explanations via Black-Box Probabilistic Certification |
17 Feb 2024 |
trusted-ai/aix360/aix360/algorithms/ecertify/ExpCertifyBB.py 6a51d68741d2ae12 |
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Apache-2.0 (permissive) |
| Game-Theoretic Unlearnable Example Generator |
31 Jan 2024 |
hong-xian/gue/gue.py 2cd493567e71bb78 |
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| Generating QM1B with PySCF$_{\text{IPU}}$ |
2 Nov 2023 |
graphcore-research/pyscf-ipu/pyscf_ipu/dft.py 554977c240abe619 |
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Apache-2.0 (permissive) |
| An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems |
2 Sep 2023 |
zezhongzhang/ensf/legacy_code/EnSF_L96.py a4201a9ab79142d8 |
unverified |
MIT (permissive) |
| BatchGFN: Generative Flow Networks for Batch Active Learning |
26 Jun 2023 |
s-a-malik/batchgfn/batchgfn/datasets/simulated_reg.py 3092e8e91236224b |
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Apache-2.0 (permissive) |
| Dynamic Structure Pruning for Compressing CNNs |
17 Mar 2023 |
pytorch/examples/fx/invert.py a2229a8c3bb45dd9 |
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BSD-3-Clause (permissive) |
| On Penalty-based Bilevel Gradient Descent Method |
10 Feb 2023 |
hanshen95/penalized-bilevel-gradient-descent/V-PBGD/toy/toy.py 7e299e6776b649a1 |
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| I see you: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance Cameras |
17 Nov 2022 |
hvzzzz/vehicle_trajectory_dataset/tools/interpolations.py 40deda4863443024 |
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| Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources |
14 Oct 2022 |
hci-unihd/BranchedOT/src/angular_stress_heuristic.py 8037bcf18cb92126 |
unverified |
MIT (permissive) |
| Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources |
14 Oct 2022 |
hci-unihd/BranchedOT/src/tree_growing_heuristic.py d7c5382f04e9bfb6 |
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MIT (permissive) |
| Efficient Policy Iteration for Robust Markov Decision Processes via Regularization |
28 May 2022 |
navdeepkumar12/rmdp/bellman.py ed1fb9f8c95071f8 |
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| TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning |
30 Apr 2022 |
AndreiChertkov/ttopt/demo/base.py c2cbec6be13031a9 |
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MIT (permissive) |
| Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network |
6 Apr 2022 |
ByungKwanLee/Masking-Adversarial-Damage/models/operator/mask.py c69509c702f9ebb9 |
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MIT (permissive) |
| Fast Differentiable Matrix Square Root |
21 Jan 2022 |
kingjamessong/fastdifferentiablematsqrt/torch_utils.py 6edb4e9466eb1e89 |
unverified |
MIT (permissive) |
| A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis |
10 Dec 2021 |
stanfordasl/randup/sensitivity.py 526f27c0c50ce6a1 |
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MIT (permissive) |
| Attention Approximates Sparse Distributed Memory |
10 Nov 2021 |
trentbrick/attention-approximates-sdm/HugFace/SDM_Circ_Inter_Funcs.py 7cedca63fc0c0ef4 |
unverified |
MIT (permissive) |
| Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series |
29 Jul 2021 |
sindhura97/STraTS/src/preprocess_mimic_iii_large.py 06ddfb40099e743b |
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MIT (permissive) |
| Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series |
29 Jul 2021 |
sindhura97/STraTS/src/preprocess_mimic_iii_large.py 2ff0290f2f537f28 |
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MIT (permissive) |
| DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning |
10 Jun 2021 |
ytaek-oh/daso/lib/algorithm/darp_reproduce.py f92ee98ae819cb89 |
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MIT (permissive) |
| Framing RNN as a kernel method: A neural ODE approach |
2 Jun 2021 |
afermanian/rnn-kernel/taylor_experiment.py 18ae94532165a154 |
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Apache-2.0 (permissive) |
| AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly |
22 May 2021 |
YuchenJin/autolrs/autolrs_server.py 3e6c34b5d19d69a2 |
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MIT (permissive) |
| AutoGL: A Library for Automated Graph Learning |
11 Apr 2021 |
THUMNLab/AutoGL-light/autogllight/hpo/base.py 60ea3d41f4acf8b1 |
unverified |
Apache-2.0 (permissive) |
| Solving and Learning Nonlinear PDEs with Gaussian Processes |
24 Mar 2021 |
yifanc96/nonlinpdes-gpsolver/main_NonLinElliptic2d.py f489b49ba9ae136d |
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| DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows |
14 Jan 2021 |
hnt4499/DeFlow/codes/models/modules/glow_arch.py fccf3dcb1b386875 |
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| Differential Evolution for Neural Architecture Search |
11 Dec 2020 |
automl/DE-NAS/denas/examples/nas101/run_de_nas101.py 0f2ccd77e1f26143 |
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| Efficient and Transferable Adversarial Examples from Bayesian Neural Networks |
10 Nov 2020 |
framartin/transferable-bnn-adv-ex/plot_metrics.py ed16303a06db0443 |
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GPL-3.0 (copyleft) · pointer only |
| Multi-Objective Bayesian Optimization for Accelerator Tuning |
2020-10 (from id) |
roussel-ryan/Accelerator_MOBO/examples/simple_mobo.py f379ee41b867c464 |
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| NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections |
5 Aug 2020 |
kwea123/nerf_pl/extract_color_mesh.py 7fb907fb8afead36 |
unverified |
MIT (permissive) |
| Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning |
17 Jul 2020 |
bbuing9/DARP/common.py 73eab42215d7c5fb |
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MIT (permissive) |
| Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT |
12 Jun 2020 |
DPBayes/PLD-Accountant/fourier_accountant/experimental/subsampled_gaussian_bounds.py 2df6e3aed39035e5 |
unverified |
MIT (permissive) |
| Predictive Coding Approximates Backprop along Arbitrary Computation Graphs |
7 Jun 2020 |
BerenMillidge/PredictiveCodingBackprop/numerical_results.py ae5584d5f6e6b28f |
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| Interacting particle solutions of Fokker-Planck equations through gradient-log-density estimation |
2020-06 (from id) |
dimitra-maoutsa/odes_for_sdes/odes_for_sdes/models/FHN_neuron.py ee4a6b293a38def0 |
unverified |
MIT (permissive) |
| Interacting particle solutions of Fokker-Planck equations through gradient-log-density estimation |
2020-06 (from id) |
dimitra-maoutsa/odes_for_sdes/odes_for_sdes/models/two_dim_multiwell.py 5dc93676e0febd49 |
unverified |
MIT (permissive) |
| Revisiting Membership Inference Under Realistic Assumptions |
21 May 2020 |
bargavj/EvaluatingDPML/improved_mi/interpret_results.py 013948fc6c807e9c |
unverified |
MIT (permissive) |
| Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks |
7 Feb 2020 |
Pehlevan-Group/NTK_Learning_Curves/ntk_generalization/utils/theory_lc.py 8d9c2ce07937ea8a |
unverified |
MIT (permissive) |
| No-Regret Learning in Unknown Games with Correlated Payoffs |
18 Sep 2019 |
sessap/noregretgames/Movie_recommendations/Main_Script.py aef23fd5e5a3f64a |
unverified |
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| Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients |
29 May 2019 |
yuachen/fastmixingHMC_public/mcmc_gaussian_nonisotropic_d_exps.py 4ecee13626733e8e |
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| MoGlow: Probabilistic and controllable motion synthesis using normalising flows |
16 May 2019 |
simonalexanderson/StyleGestures/glow/models.py c8269d5944ff8d1a |
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| Interpret Federated Learning with Shapley Values |
11 May 2019 |
crownpku/federated_shap/federated_shap.py a4bc03655d50e577 |
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Apache-2.0 (permissive) |
| Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization |
6 Apr 2019 |
mmahesh/cocain-bpg-escapes-spurious-stationary-points/contour_plot.py 075afe4d626a2df1 |
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BSD-3-Clause (permissive) |
| Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling |
29 Nov 2018 |
catniplab/tree_structured_rslds/examples/lorenz.py a3895c16b7e8438c |
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MIT (permissive) |
| Hamiltonian Descent Methods |
13 Sep 2018 |
takyamamoto/FirstExplicitMethod-HDM/first_explicit_method.py 01e5e580ceeefa06 |
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| Optimization, fast and slow: optimally switching between local and Bayesian optimization |
22 May 2018 |
markm541374/gpbo/gpbo/examples/eihypdemo.py ba2f344650d0a42a |
unverified |
AGPL-3.0 (copyleft) · pointer only |
| Bidirectional Learning for Robust Neural Networks |
21 May 2018 |
sidneyp/bidirectional/bidirectional_proof.py 54383f7845419e7a |
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BSD-3-Clause (permissive) |
| Ergodic SDEs on submanifolds and related numerical sampling schemes |
2017-02 (from id) |
zwpku/sampling-on-levelset/plot-scripts/ex1_elliptic.py e5ae01b2dc1e4e36 |
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| Learning to learn by gradient descent by gradient descent |
14 Jun 2016 |
yangsenius/learning-to-learn-by-pytorch/learning_to_learn.py 6f7f03d4cde2161b |
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MIT (permissive) |
| Communication-Efficient Learning of Deep Networks from Decentralized Data |
17 Feb 2016 |
google/fedjax/fedjax/core/client_datasets_benchmark.py dcee316376a55eb4 |
unverified |
Apache-2.0 (permissive) |
| Deep Kernel Learning |
6 Nov 2015 |
maka89/deep-kernel-gp/example.py dc7eaed619c6bc0d |
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| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning |
6 Jun 2015 |
arneschmidt/bayesian_deep_learning/regression_with_GP.py 9dc92202a028ac23 |
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| ADADELTA: An Adaptive Learning Rate Method |
22 Dec 2012 |
Arko98/Gradient-Descent-Algorithms/Algorithms/Adagrad.py 6a2fbba8acf6ffbd |
unverified |
MIT (permissive) |
| arXiv:aaai_30169 |
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jacobwang925/path-integral-PINN/src/autoencoder/utils.py 1554a3a338ca7efc |
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MIT (permissive) |
| arXiv:Ji_MMGeo_Multimodal_Compositional_Geo-Localization_for_UAVs_ICCV_2025_paper |
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Yux1angJi/MMGeo/game4loc/loss.py 1ef05a5fc312f36e |
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Apache-2.0 (permissive) |