| Hyperbolic Busemann Neural Networks added by Syntology |
2026-02 (from id) |
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| Machine Learning Hamiltonians are Accurate Energy-Force Predictors added by Syntology |
2026-02 (from id) |
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| HexFormer: Hyperbolic Vision Transformer with Exponential Map Aggregation added by Syntology |
2026-01 (from id) |
HayaAlyoussef/HexFormer/lib/geoopt/utils.py d4e7ce8697742d11 |
unverified |
MIT (permissive) |
| arXiv:2507.21648 |
2025-07 (from id) |
rrkhan/HGE/lib/geoopt/utils.py d4e7ce8697742d11 |
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| Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity |
3 Feb 2025 |
microsoft/sphnet/src/models/SPHNet.py b0aeca26969b9a56 |
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MIT (permissive) |
| Multi-marginal Schrödinger Bridges with Iterative Reference Refinement |
12 Aug 2024 |
YunyiShen/SBIRR/package/SBIRR/mem_utils.py 6d5acfb0087d1ee7 |
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| Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models |
6 Jun 2024 |
zun-wang/deqhnet/src/QHNet/models/DEQHNet.py b0aeca26969b9a56 |
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| Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP |
3 Jun 2024 |
SriramB-98/vit-decompose/helpers/linear_decompose.py f008b9c99180b5f5 |
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| An empirical study of LLaMA3 quantization: from LLMs to MLLMs |
22 Apr 2024 |
macaronlin/llama3-quantization/irqlora.py 6d5acfb0087d1ee7 |
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| Accurate LoRA-Finetuning Quantization of LLMs via Information Retention |
8 Feb 2024 |
htqin/ir-qlora/utils.py 6d5acfb0087d1ee7 |
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| tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) |
4 Feb 2024 |
ChaoLiAtRIKEN/tngps/tenmul4.py 6d5acfb0087d1ee7 |
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| Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives! |
6 Nov 2023 |
phhei/relateperspectives-sweetspots/argperspectives/models/RecommenderComponents.py 19c35905c9854f5b |
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| Exploring Geometry of Blind Spots in Vision Models |
30 Oct 2023 |
sriramb-98/blindspots-neurips-sub/level_set_traversal.py 4dce0c5ec0be00a6 |
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| RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark |
29 Jun 2023 |
facebookresearch/rl/torchrl/_utils.py eb9333cd6b23461f |
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| QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules |
15 Jun 2023 |
divelab/AIRS/OpenDFT/QHBench/QH9/models/QHNet.py b0aeca26969b9a56 |
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| Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian |
8 Jun 2023 |
identical code first harvested elsewhere b0aeca26969b9a56 |
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| Fully Hyperbolic Convolutional Neural Networks for Computer Vision |
28 Mar 2023 |
kschwethelm/hyperboliccv/code/lib/geoopt/utils.py d4e7ce8697742d11 |
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MIT (permissive) |
| Disentangling Learning Representations with Density Estimation |
8 Feb 2023 |
ericyeats/gcae-disentanglement/src/disentanglement_utils.py 31238bf1de0249d3 |
unverified |
MIT (permissive) |
| Mixture of Attention Heads: Selecting Attention Heads Per Token |
11 Oct 2022 |
sovrasov/flops-counter.pytorch/ptflops/aten_ops.py 185b3f3ea726676d |
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MIT (permissive) |
| VAuLT: Augmenting the Vision-and-Language Transformer for Sentiment Classification on Social Media |
18 Aug 2022 |
gchochla/vault/vault/train_utils.py e5a5d3e4bf55e79d |
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MIT (permissive) |
| Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms |
19 Jul 2022 |
awslabs/gluonts/src/gluonts/itertools.py 67059eb6565db923 |
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Apache-2.0 (permissive) |
| e3nn: Euclidean Neural Networks |
18 Jul 2022 |
atomicarchitects/phonax/phonax/nequip_model.py 3f10eb76dacbfed5 |
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MIT (permissive) |
| Clustering units in neural networks: upstream vs downstream information |
22 Mar 2022 |
wrongu/modularity/models/cifar10.py a828da824800b5de |
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MIT (permissive) |
| Monte Carlo EM for Deep Time Series Anomaly Detection |
29 Dec 2021 |
Francois-Aubet/gluon-ts/src/gluonts/itertools.py b5c0811c003f958f |
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Apache-2.0 (permissive) |
| PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series |
2 Aug 2021 |
awslabs/gluon-ts/src/gluonts/itertools.py 67059eb6565db923 |
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Apache-2.0 (permissive) |
| Solving Schrödinger Bridges via Maximum Likelihood |
3 Jun 2021 |
franciscovargas/GP_Sinkhorn/gp_sinkhorn/mem_utils.py 6d5acfb0087d1ee7 |
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MIT (permissive) |
| Sparse Uncertainty Representation in Deep Learning with Inducing Weights |
30 May 2021 |
microsoft/bayesianize/bnn/nn/mixins/variational/inducing.py 0f1e71e2afa65ee4 |
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MIT (permissive) |
| Weight Poisoning Attacks on Pre-trained Models |
14 Apr 2020 |
neulab/RIPPLe/constrained_poison.py 99f4817ce6cc133b |
unverified |
BSD-3-Clause (permissive) |
| Lagrangian Decomposition for Neural Network Verification |
24 Feb 2020 |
oval-group/decomposition-plnn-bounds/plnn_bounds/proxlp_solver/utils.py 1c49e5ae3f68bbc7 |
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MIT (permissive) |
| Intermittent Demand Forecasting with Deep Renewal Processes |
23 Nov 2019 |
manujosephv/deeprenewalprocess/deeprenewal/deeprenewal/_network.py f0e3c7bfe8f66898 |
unverified |
MIT (permissive) |
| Reverse derivative categories |
2019-10 (from id) |
statusfailed/catgrad/catgrad/core/operation.py 8ed818983163a2e5 |
unverified |
MIT (permissive) |
| High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes |
7 Oct 2019 |
mbohlkeschneider/gluon-ts/src/gluonts/itertools.py b5c0811c003f958f |
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Apache-2.0 (permissive) |
| Stacked Capsule Autoencoders |
17 Jun 2019 |
KohavTal/SCAE_Project/torch_scae/general_utils.py 6d5acfb0087d1ee7 |
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Apache-2.0 (permissive) |
| NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language |
14 Jun 2019 |
leonweber/nlprolog/prolog.py f97356fe5f557abd |
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MIT (permissive) |
| GluonTS: Probabilistic Time Series Models in Python |
12 Jun 2019 |
elenaehrlich/gluon-ts/src/gluonts/itertools.py 67059eb6565db923 |
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Apache-2.0 (permissive) |
| GluonTS: Probabilistic Time Series Models in Python |
12 Jun 2019 |
canerturkmen/gluon-ts/src/gluonts/itertools.py b5c0811c003f958f |
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Apache-2.0 (permissive) |
| Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers |
17 Apr 2019 |
ameya005/Semantic_Adversarial_Attacks/simple_classifier.py 6d5acfb0087d1ee7 |
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MIT (permissive) |
| Exploration by Random Network Distillation |
30 Oct 2018 |
uoe-agents/derl/derl/intrinsic_rewards/rnd/rnd.py 2fe739431c704a67 |
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| Automatic differentiation in ML: Where we are and where we should be going |
26 Oct 2018 |
mila-udem/myia/myia/public_api.py d13c1f646dd643d6 |
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MIT (permissive) |
| AOGNets: Compositional Grammatical Architectures for Deep Learning |
15 Nov 2017 |
xilaili/AOGNet/aognet/utils/memonger.py d4bf79898fff9b84 |
unverified |
MIT (permissive) |
| arXiv:aaai_29453 |
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shapsider/scintegration/integration_c/src/num.py 8fb5257f5890e497 |
unverified |
MIT (permissive) |