Genereret Januar 18 2026 13:30 PM
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Titel
Chandan Singh | chandan singh
Længde : 30
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Beskrivelse
Let's do good with models
Længde : 25
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Nøgleord
Machine Learning, Chandan Singh, Berkeley, Interpretability, Explainability, Causal Inference
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On-page links
Vi fandt et total af 209 links inkluderende 40 link(s) til filer
| Anker | Type | Juice |
|---|---|---|
| Chandan Singh | Intern | Sender Juice |
| Research | Intern | Sender Juice |
| Resources | Intern | Sender Juice |
| Experience | Intern | Sender Juice |
| cv | Ekstern | Sender Juice |
| deep learning group | Ekstern | Sender Juice |
| bin yu | Ekstern | Sender Juice |
| LLM interpretability | Ekstern | Sender Juice |
| augmented imodels | Ekstern | Sender Juice |
| tree prompting | Ekstern | Sender Juice |
| attention steering | Ekstern | Sender Juice |
| explanation penalization | Ekstern | Sender Juice |
| adaptive wavelet distillation | Ekstern | Sender Juice |
| interpretable autoprompting | Ekstern | Sender Juice |
| human-ai co-design of clinical models | Ekstern | Sender Juice |
| greedy tree sums | Ekstern | Sender Juice |
| clinical self-verification | Ekstern | Sender Juice |
| clinical rule vetting | Ekstern | Sender Juice |
| clinical rule bias assessment | Ekstern | Sender Juice |
| generative causal testing | Ekstern | Sender Juice |
| qa encoding models | Ekstern | Sender Juice |
| summarize & score explanations | Ekstern | Sender Juice |
| imodels | Ekstern | Sender Juice |
| imodelsX | Ekstern | Sender Juice |
| NeurIPS | Ekstern | Sender Juice |
| NeurIPS | Ekstern | Sender Juice |
| NeurIPS | Ekstern | Sender Juice |
| EMNLP | Ekstern | Sender Juice |
| npj Digital Medicine | Ekstern | Sender Juice |
| nature scientific reports | Ekstern | Sender Juice |
| icml | Ekstern | Sender Juice |
| iclr | Ekstern | Sender Juice |
| neurips | Ekstern | Sender Juice |
| arxiv | Ekstern | Sender Juice |
| COLING | Ekstern | Sender Juice |
| tmlr | Ekstern | Sender Juice |
| arxiv | Ekstern | Sender Juice |
| ml4h findings | Ekstern | Sender Juice |
| nature communications | Ekstern | Sender Juice |
| arXiv | Ekstern | Sender Juice |
| pnas | Ekstern | Sender Juice |
| icml (spotlight) | Ekstern | Sender Juice |
| joss | Ekstern | Sender Juice |
| joss | Ekstern | Sender Juice |
| neurips | Ekstern | Sender Juice |
| cvpr workshop | Ekstern | Sender Juice |
| jmlr | Ekstern | Sender Juice |
| hdsr | Ekstern | Sender Juice |
| iclr workshop (spotlight) | Ekstern | Sender Juice |
| ICLR | Ekstern | Sender Juice |
| pnas | Ekstern | Sender Juice |
| arxiv | Ekstern | Sender Juice |
| TPAMI | Ekstern | Sender Juice |
| J Comp Neuro | Ekstern | Sender Juice |
| Plos One | Ekstern | Sender Juice |
| neurips Workshop | Ekstern | Sender Juice |
| causal inference | Intern | Sender Juice |
| complexity | Intern | Sender Juice |
| disentanglement | Intern | Sender Juice |
| dl theory | Intern | Sender Juice |
| generalization | Intern | Sender Juice |
| interesting science | Intern | Sender Juice |
| interpretability ⭐ | Intern | Sender Juice |
| llms ⭐ | Intern | Sender Juice |
| ml in medicine | Intern | Sender Juice |
| omics | Intern | Sender Juice |
| scattering transform | Intern | Sender Juice |
| transfer learning | Intern | Sender Juice |
| uncertainty | Intern | Sender Juice |
| knowledge flow | Ekstern | Sender Juice |
| long dllm | Ekstern | Sender Juice |
| automated brain explanations | Ekstern | Sender Juice |
| data science benchmarks | Intern | Sender Juice |
| interpretable text models (with LLMs) | Intern | Sender Juice |
| tensor product representations | Intern | Sender Juice |
| paper-writing tips | Intern | Sender Juice |
| forecasting paper titles | Ekstern | Sender Juice |
| figs | Ekstern | Sender Juice |
| imodels | Ekstern | Sender Juice |
| adaptive wavelet distillation | Ekstern | Sender Juice |
| ml coding tips | Intern | Sender Juice |
| quick intro to attribution methods | Intern | Sender Juice |
| what is interpretability? | Intern | Sender Juice |
| evaluating interpretability | Intern | Sender Juice |
| connectomics | Intern | Sender Juice |
| model improvement checklist | Intern | Sender Juice |
| beautiful slides with reveal-md | Intern | Sender Juice |
| latex useful tips | Intern | Sender Juice |
| neural coding | Intern | Sender Juice |
| imagenet quickstart | Intern | Sender Juice |
| rethinking interpretability | Ekstern | Sender Juice |
| automated brain explanations | Ekstern | Sender Juice |
| explanations from text data | Ekstern | Sender Juice |
| intro ml | Intern | Sender Juice |
| llm interpretability / data science overview | Ekstern | Sender Juice |
| uniting trees and LLMs | Ekstern | Sender Juice |
| phd research ovw (animated) | Ekstern | Sender Juice |
| intro ai | Intern | Sender Juice |
| deep learning interpretation ovw | Ekstern | Sender Juice |
| interpretability workshop | Ekstern | Sender Juice |
| dnn experiments | Intern | Sender Juice |
| hummingbird | Ekstern | Sender Juice |
| ai futures | Intern | Sender Juice |
| cognitive science | Intern | Sender Juice |
| decisions, rl | Intern | Sender Juice |
| fairness, sts | Intern | Sender Juice |
| representations | Intern | Sender Juice |
| llms | Intern | Sender Juice |
| logic | Intern | Sender Juice |
| philosophy | Intern | Sender Juice |
| psychology | Intern | Sender Juice |
| search | Intern | Sender Juice |
| algorithms | Intern | Sender Juice |
| architecture | Intern | Sender Juice |
| cs theory | Intern | Sender Juice |
| data structures | Intern | Sender Juice |
| databases | Intern | Sender Juice |
| graphs | Intern | Sender Juice |
| languages | Intern | Sender Juice |
| os | Intern | Sender Juice |
| quantum | Intern | Sender Juice |
| reproducibility | Intern | Sender Juice |
| info retrieval | Intern | Sender Juice |
| software engineering | Intern | Sender Juice |
| real analysis | Intern | Sender Juice |
| calculus | Intern | Sender Juice |
| chaos | Intern | Sender Juice |
| differential equations | Intern | Sender Juice |
| linear algebra | Intern | Sender Juice |
| math basics | Intern | Sender Juice |
| optimization | Intern | Sender Juice |
| proofs | Intern | Sender Juice |
| signals | Intern | Sender Juice |
| classification | Intern | Sender Juice |
| computer vision | Intern | Sender Juice |
| deep learning | Intern | Sender Juice |
| evaluation | Intern | Sender Juice |
| feature selection | Intern | Sender Juice |
| kernels | Intern | Sender Juice |
| learning theory | Intern | Sender Juice |
| nlp | Intern | Sender Juice |
| structure learning | Intern | Sender Juice |
| unsupervised | Intern | Sender Juice |
| brain basics | Intern | Sender Juice |
| comp neuro | Intern | Sender Juice |
| development | Intern | Sender Juice |
| disease | Intern | Sender Juice |
| memory | Intern | Sender Juice |
| motor system | Intern | Sender Juice |
| sensory input | Intern | Sender Juice |
| vision | Intern | Sender Juice |
| causal inference | Intern | Sender Juice |
| data analysis | Intern | Sender Juice |
| game theory | Intern | Sender Juice |
| graphical models | Intern | Sender Juice |
| info theory | Intern | Sender Juice |
| linear models | Intern | Sender Juice |
| statistics | Intern | Sender Juice |
| testing | Intern | Sender Juice |
| time series | Intern | Sender Juice |
| dumb stuff here. | Intern | Sender Juice |
| pretrained pytorch gans | Ekstern | Sender Juice |
| sensible local interpretations | Ekstern | Sender Juice |
| data-viz utils | Intern | Sender Juice |
| gan brain decoding | Ekstern | Sender Juice |
| scattering transform | Ekstern | Sender Juice |
| glaucoma diagnosis | Ekstern | Sender Juice |
| mini-games in java | Ekstern | Sender Juice |
| news bias comparisons | Intern | Sender Juice |
| generating paper acronyms | Ekstern | Sender Juice |
| visualizing large cities | Intern | Sender Juice |
| news balancer web | Intern | Sender Juice |
| hummingbird tracking | Ekstern | Sender Juice |
| biophysical simulations | Ekstern | Sender Juice |
| interpretability code | Ekstern | Sender Juice |
| lunch wheel | Ekstern | Sender Juice |
| sports rankings with plotly | Intern | Sender Juice |
| paige ai | Ekstern | Sender Juice |
| pacmed ai | Ekstern | Sender Juice |
| bin yu group | Ekstern | Sender Juice |
| meta ai | Ekstern | Sender Juice |
| aws | Ekstern | Sender Juice |
| Yanjun Qi | Ekstern | Sender Juice |
| William Levy | Ekstern | Sender Juice |
| Srini Turaga | Ekstern | Sender Juice |
| jianfeng gao | Ekstern | Sender Juice |
| bin yu | Ekstern | Sender Juice |
| yanjun qi | Ekstern | Sender Juice |
| pietro perona | Ekstern | Sender Juice |
| william levy | Ekstern | Sender Juice |
| aaron kornblith | Ekstern | Sender Juice |
| alex huth | Ekstern | Sender Juice |
| gokul upadhyayula | Ekstern | Sender Juice |
| francois lanusse | Ekstern | Sender Juice |
| yufan zhuang | Ekstern | Sender Juice |
| yanda chen | Ekstern | Sender Juice |
| qingru zhang | Ekstern | Sender Juice |
| Eunji Kim | Ekstern | Sender Juice |
| Sriya Mantena | Ekstern | Sender Juice |
| Ziyang Wu | Ekstern | Sender Juice |
| Kai Zhang | Ekstern | Sender Juice |
| Sahil Verma | Ekstern | Sender Juice |
| Yanda Chen | Ekstern | Sender Juice |
| keyan nasseri | Ekstern | Sender Juice |
| saarim rahman | Ekstern | Sender Juice |
| rush kapoor | Ekstern | Sender Juice |
| sahil saxena | Ekstern | Sender Juice |
| summer devlin | Ekstern | Sender Juice |
| chris lu | Ekstern | Sender Juice |
Nøgleords cloud
learning language clinical singh models llms research gao interpretable explanations
Nøgleords balance
| Nøgleord | Indhold | Titel | Nøgleord | Beskrivelse | Overskrifter |
|---|---|---|---|---|---|
| singh | 33 | ![]() |
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| models | 20 | ![]() |
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| clinical | 15 | ![]() |
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| learning | 11 | ![]() |
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| language | 10 | ![]() |
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Link
Domæne : csinva.io
Længde : 9
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