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Pinboard (arthegall) https://pinboard.in/u:arthegall/public/ recent bookmarks from arthegall Asadi et al. "MIRAGE: The Illusion of Visual Understanding" (arXiv) 2026-03-31T12:19:42+00:00 https://arxiv.org/abs/2603.21687 arthegall arxiv research-article llms via:cshalizi https://pinboard.in/ https://pinboard.in/u:arthegall/b:86b19cc42bf5/ Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models 2026-02-23T14:39:22+00:00 https://arxiv.org/html/2511.15304v1 arthegall poetry magic prompt-injection research-article arxiv llms ai https://pinboard.in/ https://pinboard.in/u:arthegall/b:49195495f70d/ [1910.09707] A Fresh Look at the "Hot Hand" Paradox 2026-02-23T12:41:37+00:00 https://arxiv.org/abs/1910.09707 arthegall via:vaguery via:cshalizi research-article sequence-analysis strings https://pinboard.in/ https://pinboard.in/u:arthegall/b:7648649c36f4/ “ Challenging reaction prediction models to generalize to novel chemistry” 2025-01-25T20:23:43+00:00 https://arxiv.org/abs/2501.06669 arthegallarxiv research-article https://pinboard.in/ https://pinboard.in/u:arthegall/b:92658d150939/ Powell, "On Languages for Dynamic Scheduling Problems" 2024-03-24T17:22:47+00:00 https://castle.princeton.edu/Papers/languages.pdf arthegallpdf research-article scheduling https://pinboard.in/ https://pinboard.in/u:arthegall/b:07ce193f1426/ The Inner Loop of Collective Human-machine Intelligence 2023-04-02T11:02:05+00:00 http://shaftolab.com/assets/papers/yangFolkeShafto2023.pdf arthegall research-article pat-shafto cognition artificial-intelligence https://pinboard.in/ https://pinboard.in/u:arthegall/b:eb8d7c48cdd7/ A guideline to limit indoor airborne transmission of COVID-19 | PNAS 2021-06-28T13:36:39+00:00 https://www.pnas.org/content/118/17/e2018995118 arthegall covid pnas research-article air-quality masking https://pinboard.in/ https://pinboard.in/u:arthegall/b:854723657ebf/ Corrigan-Gibbs, Boneh, "Prio: Private, Robust, and Scalable Computation of Aggregate Statistics" 2021-05-06T07:54:31+00:00 https://crypto.stanford.edu/prio/paper.pdf arthegall dan-boneh privacy statistics research-article differential-privacy machinelearning https://pinboard.in/ https://pinboard.in/u:arthegall/b:9d29f4dee7e6/ [2009.09440] The Significance Filter, the Winner's Curse and the Need to Shrink 2021-05-06T07:46:50+00:00 https://arxiv.org/abs/2009.09440 arthegallresearch-article arxiv statistics bias https://pinboard.in/ https://pinboard.in/u:arthegall/b:311e0b41d3c1/ Pereira, Singer, Tishby, "Beyond Word N-Grams" 2021-05-06T07:40:00+00:00 https://aaai.org/Library/BISFAI/1995/bisfai95-019.php arthegall n-grams nlp machinelearning research-article fernando-pereira https://pinboard.in/ https://pinboard.in/u:arthegall/b:57f6e387b8bf/ Cohen, Levesque, "Intention is Choice with Commitment" 2021-05-06T07:38:36+00:00 https://ai.stanford.edu/~epacuit/classes/lori-spr09/cohenlevesque-intention-aij90.pdf arthegall intentionality research-article artificial-intelligence stanford https://pinboard.in/ https://pinboard.in/u:arthegall/b:2c9a03ffbda6/ Owicki, Gries "An Axiomatic Proof Technique for Parallel Programs I" 2020-11-25T11:35:30+00:00 http://www.dimap.ufrn.br/~richard/pubs/dim0436/papers/owicki_gries_1976.pdf arthegall susan-owicki personal research-article computerscience parallel-computing proofs https://pinboard.in/ https://pinboard.in/u:arthegall/b:74f5dca61a7c/ [PDF] Beyond Born versus Made: A New Look at Expertise | Semantic Scholar 2020-11-25T09:56:32+00:00 https://www.semanticscholar.org/paper/Beyond-Born-versus-Made%3A-A-New-Look-at-Expertise-Hambrick-Macnamara/7a55de6cbae869dca6fae9f8637a77aa73f14479 arthegall expertise research-article pyschology deliberate-practice https://pinboard.in/ https://pinboard.in/u:arthegall/b:fc189cbcfcf6/ [PDF] The Relationship Between Deliberate Practice and Performance in Sports | Semantic Scholar 2020-11-25T09:52:53+00:00 https://www.semanticscholar.org/paper/The-Relationship-Between-Deliberate-Practice-and-in-Macnamara-Moreau/633eb930435e8608bc38065961fb8eeb642d84aa?p2df arthegall deliberate-practice sports meta-analysis research-article psychology https://pinboard.in/ https://pinboard.in/u:arthegall/b:ea3c303f5c78/ [1608.03960] A Conflict-Free Replicated JSON Datatype 2020-11-25T09:47:31+00:00 https://arxiv.org/abs/1608.03960 arthegallmartin-kleppman crdts arxiv research-article distributed-systems json https://pinboard.in/ https://pinboard.in/u:arthegall/b:a7af982e5989/ Ritirc et al. "A Practical Polynomial Calculus for Arithmetic Circuit Verification" 2020-10-29T13:51:46+00:00 http://fmv.jku.at/papers/RitircBiereKauers-scsc18.pdf arthegallresearch-article polynomials algebraic-geometry grobner-bases mathematics proof arithmetic-circuits https://pinboard.in/ https://pinboard.in/u:arthegall/b:b24777e2e02d/ [2003.00563] An Equivalence Between Private Classification and Online Prediction 2020-10-16T10:09:22+00:00 https://arxiv.org/abs/2003.00563 arthegalldifferential-privacy arxiv research-article online-algorithms prediction https://pinboard.in/ https://pinboard.in/u:arthegall/b:3f5cdceb54a0/ [1810.03664] Approximating Edit Distance Within Constant Factor in Truly Sub-Quadratic Time 2020-10-16T10:07:34+00:00 https://arxiv.org/abs/1810.03664 arthegalledit-distance arxiv research-article computerscience approximation https://pinboard.in/ https://pinboard.in/u:arthegall/b:5e55323d4a33/ [1607.04200] Edit Distance: Sketching, Streaming and Document Exchange 2020-10-16T10:05:18+00:00 https://arxiv.org/abs/1607.04200 arthegallarxiv edit-distance research-article sketches probabilistic-methods approximation https://pinboard.in/ https://pinboard.in/u:arthegall/b:150ce2d0eb4b/ Anna: a KVS for Any Scale 2020-09-28T14:50:55+00:00 https://dsf.berkeley.edu/jmh/papers/anna_ieee18.pdf arthegalldatabase key-value-store research-article computerscience https://pinboard.in/ https://pinboard.in/u:arthegall/b:a0a9eb5b3f6f/ Choi et al. "Differentially-Private Multi-Party Sketching for Large-Scale Statistics" 2020-08-01T09:41:55+00:00 https://petsymposium.org/2020/files/papers/issue3/popets-2020-0047.pdf arthegallsketches probabilistic-methods differential-privacy research-article multiparty-computation statistics https://pinboard.in/ https://pinboard.in/u:arthegall/b:1a883a1c2d1b/ Topological structures in the equities market network | PNAS 2020-07-14T14:40:14+00:00 https://www.pnas.org/content/105/52/20589 arthegall greg-leibon pnas research-article topology data-analysis https://pinboard.in/ https://pinboard.in/u:arthegall/b:15d8aa98cdbf/ [1706.00754] Computationally and statistically efficient learning of causal Bayes nets using path queries 2020-07-07T11:04:44+00:00 https://arxiv.org/abs/1706.00754 arthegallbayesian-networks arxiv research-article machinelearning causal-networks https://pinboard.in/ https://pinboard.in/u:arthegall/b:5d7a93ffd1a7/ Pedro Domingos et al. "Version Space Algebra and its Application to Programming by Demonstration" 2020-06-11T18:55:18+00:00 https://pdfs.semanticscholar.org/7b8b/40a4c485593a7f4fe6d9596f5ac2d0d1f681.pdf arthegallpdf research-article machinelearning classification pedro-domingos https://pinboard.in/ https://pinboard.in/u:arthegall/b:de7756c22a7f/ Optimal Dynamic Treatments in Resource-Limited Settings (PDF) 2020-06-11T10:58:03+00:00 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.671.6242&rep=rep1&type=pdf arthegallresearch-article working-paper biostatistics berkeley pdf https://pinboard.in/ https://pinboard.in/u:arthegall/b:65d09e441322/ [1905.10615] Adversarial Policies: Attacking Deep Reinforcement Learning 2020-04-20T15:17:14+00:00 https://arxiv.org/abs/1905.10615 arthegallstuart-russell machinelearning deep-learning adversarial-examples arxiv research-article https://pinboard.in/ https://pinboard.in/u:arthegall/b:fb5710e340e1/ Identity inference of genomic data using long-range familial searches | Science 2020-02-28T17:20:50+00:00 https://science.sciencemag.org/content/362/6415/690 arthegallyaniv-erlich genomics privacy research-article familial-searches https://pinboard.in/ https://pinboard.in/u:arthegall/b:5f802aad8c50/ David Chaum, "Security without Identification" 2020-02-27T18:44:09+00:00 https://www.chaum.com/publications/Security_Wthout_Identification.html arthegall encryption security privacy digital-signatures research-article david-chaum https://pinboard.in/ https://pinboard.in/u:arthegall/b:58f8f9a880c2/ Khuller et al. "Select and Permute: An Improved Online Framework for Scheduling to Minimize Weighted Completion Time " 2020-02-20T11:37:11+00:00 http://www.cs.umd.edu/users/samir/grant/cos-latin.pdf arthegallscheduling research-article dataflow spark pascal-sturmfels online-algorithms https://pinboard.in/ https://pinboard.in/u:arthegall/b:9d9ab1cdb771/ Bray, Pimentel, Melsted, Pachter, "Near-optimal probabilistic RNA-seq quantification" 2020-02-20T09:54:51+00:00 http://diytranscriptomics.com/Reading/files/Kallisto.pdf arthegall genomics probabilistic-genomics research-article lior-pachter https://pinboard.in/ https://pinboard.in/u:arthegall/b:b38555c681d9/ Pinkas et al. "PSI from PaXoS: Fast, Malicious Private Set Intersection" 2020-02-20T09:42:32+00:00 https://eprint.iacr.org/2020/193.pdf arthegall set-intersection bloom-filters hashing research-article security privacy codes https://pinboard.in/ https://pinboard.in/u:arthegall/b:a26b03a13c17/ Dong et al. "When Private Set Intersection Meets Big Data: An Efficient and Scalable Protocol" 2020-02-20T09:41:18+00:00 https://eprint.iacr.org/2013/515.pdf arthegall bloom-filters set-intersection security privacy algorithm research-article https://pinboard.in/ https://pinboard.in/u:arthegall/b:e8654d527e4e/ A modern maximum-likelihood theory for high-dimensional logistic regression | PNAS 2020-01-23T18:57:57+00:00 https://www.pnas.org/content/116/29/14516.short arthegallmachinelearning emmanuel-candes logistic-regression pnas research-article regression https://pinboard.in/ https://pinboard.in/u:arthegall/b:ffa04a104a1d/ The Effects of Confounding When Making Automatic Intervention Decisions Using Machine Learning by Carlos Fernández, Foster Provost :: SSRN 2019-12-13T10:59:45+00:00 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3444678 arthegallvia:arsyed confounding statistics machinelearning causality research-article ssrn sigma https://pinboard.in/ https://pinboard.in/u:arthegall/b:5a9da47dd49d/ [1510.05569] Estimating the Causal Impact of Recommendation Systems from Observational Data 2019-12-10T14:43:49+00:00 https://arxiv.org/abs/1510.05569 arthegallrecommendations arxiv research-article statistics iv-methods causality sigma duncan-watts https://pinboard.in/ https://pinboard.in/u:arthegall/b:5ae96eb42056/ [1601.01280] Language to Logical Form with Neural Attention 2019-12-10T13:12:39+00:00 https://arxiv.org/abs/1601.01280 arthegallneural-networks sigma machinelearning research-article arxiv https://pinboard.in/ https://pinboard.in/u:arthegall/b:4639d787cca2/ [1508.01991] Bidirectional LSTM-CRF Models for Sequence Tagging 2019-12-10T13:12:11+00:00 https://arxiv.org/abs/1508.01991 arthegallsequence-analysis lstm neural-networks machinelearning arxiv sigma tagging research-article https://pinboard.in/ https://pinboard.in/u:arthegall/b:d27ddbfe59ab/ [1910.10871] Preventing Adversarial Use of Datasets through Fair Core-Set Construction 2019-10-26T15:56:43+00:00 https://arxiv.org/abs/1910.10871 arthegallvia:cshalizi adversarial-methods machinelearning arxiv research-article https://pinboard.in/ https://pinboard.in/u:arthegall/b:d0ca37d3b3bd/ [1602.02201] The Rate-Distortion Risk in Estimation from Compressed Data 2019-10-26T15:56:15+00:00 https://arxiv.org/abs/1602.02201 arthegallvia:? compression machinelearning research-article arxiv https://pinboard.in/ https://pinboard.in/u:arthegall/b:b62f3c34e055/ [PDF] Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation - Semantic Scholar 2019-10-26T05:47:48+00:00 https://www.semanticscholar.org/paper/Using-Word-Vectors-to-Improve-Word-Alignments-for-Pourdamghani-Ghazvininejad/8f4bf65a6b62cecc6f7b0ab2489a831d9a44a86d arthegalltranslation nlp word-embeddings machinelearning research-article computational-linguistics https://pinboard.in/ https://pinboard.in/u:arthegall/b:c926c327e04a/ [1910.05992] Pathological spectra of the Fisher information metric and its variants in deep neural networks 2019-10-26T05:47:07+00:00 https://arxiv.org/abs/1910.05992 arthegallshun-ichi-amari arxiv research-article machinelearning deep-learning https://pinboard.in/ https://pinboard.in/u:arthegall/b:67598683e6c7/ Generating Topical Poetry - ACL Anthology 2019-10-26T05:45:00+00:00 https://www.aclweb.org/anthology/D16-1126/ arthegallpoetry language nlp research-article https://pinboard.in/ https://pinboard.in/u:arthegall/b:df2bb42e8863/ How to Memorize a Random 60-Bit String - ACL Anthology 2019-10-26T05:43:41+00:00 https://www.aclweb.org/anthology/N15-1180/ arthegallmemory memorization research-article language https://pinboard.in/ https://pinboard.in/u:arthegall/b:708e30ba2c68/ [1511.05219] How much does your data exploration overfit? Controlling bias via information usage 2019-10-12T09:41:21+00:00 https://arxiv.org/abs/1511.05219 arthegallstatistics machinelearning via:cshalizi overfitting bias arxiv research-article garden-of-forking-paths https://pinboard.in/u:arthegall/b:2db3b94391b1/ [1910.04618] Universal Adversarial Perturbation for Text Classification 2019-10-12T09:40:24+00:00 https://arxiv.org/abs/1910.04618 arthegallmachinelearning via:cshalizi deep-networks classification nlp text arxiv research-article perturbations https://pinboard.in/u:arthegall/b:0da5fbb4d951/ [1901.08113] Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN 2019-10-09T13:13:32+00:00 https://arxiv.org/abs/1901.08113 arthegall to-read arxiv research-article machinelearning deep-learning graphs networks https://pinboard.in/ https://pinboard.in/u:arthegall/b:248dd068ef2c/ [1909.11942v1] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 2019-10-09T13:12:37+00:00 https://arxiv.org/abs/1909.11942v1 arthegall deep-learning arxiv research-article nlp bert embeddings https://pinboard.in/ https://pinboard.in/u:arthegall/b:604981a738cf/ [1909.13649] PlanAlyzer: Assessing Threats to the Validity of Online Experiments 2019-10-09T12:13:30+00:00 https://arxiv.org/abs/1909.13649 arthegall static-analysis arxiv social-science via:dean-eckles research-article internal-validity statistics experimental-design https://pinboard.in/ https://pinboard.in/u:arthegall/b:208c06260304/ Frank McSherry, "Synthetic Data via Differential Privacy" 2019-09-07T10:18:40+00:00 https://github.com/frankmcsherry/blog/blob/master/assets/Synth-SIGMOD.pdf arthegallfrank-mcsherry differential-privacy data research-article privacy testing https://pinboard.in/ https://pinboard.in/u:arthegall/b:bb91cd3f49a4/ [1908.11358] Private Heavy Hitters and Range Queries in the Shuffled Model 2019-09-06T09:25:14+00:00 https://arxiv.org/abs/1908.11358 arthegalldifferential-privacy privacy arxiv research-article data-analytics https://pinboard.in/ https://pinboard.in/u:arthegall/b:6ada30089acc/ [1905.13229] Private Hypothesis Selection 2019-09-06T09:24:46+00:00 https://arxiv.org/abs/1905.13229 arthegalldifferential-privacy statistics inference research-article arxiv https://pinboard.in/ https://pinboard.in/u:arthegall/b:95bd347048fc/ [1909.01917] Differentially Private SQL with Bounded User Contribution 2019-09-06T09:21:18+00:00 https://arxiv.org/abs/1909.01917 arthegalldifferential-privacy sql databases arxiv research-article google https://pinboard.in/ https://pinboard.in/u:arthegall/b:b4f0063fd1f2/ Ilya Mironov, "On Significance of the Least Significant Bits for Differential Privacy" 2019-09-06T09:21:01+00:00 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.366.5957&rep=rep1&type=pdf arthegall differential-privacy privacy research-article https://pinboard.in/ https://pinboard.in/u:arthegall/b:6b68e69a4a8b/ Beaver, Micali, Rogaway, "The Round Complexity of Secure Protocols" 2019-09-06T09:15:26+00:00 https://web.cs.ucdavis.edu/~rogaway/papers/bmr90 arthegallsmc research-article computerscience security privacy https://pinboard.in/ https://pinboard.in/u:arthegall/b:6e9d59768e7e/ Goldreich, Micali, Wigderson, "How to Play Any Mental Game" 2019-09-06T09:14:48+00:00 http://www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/GMW87/GMW87.pdf arthegallsmc computerscience privacy security research-article https://pinboard.in/ https://pinboard.in/u:arthegall/b:c09775b112f9/ [1706.04692] Bias and high-dimensional adjustment in observational studies of peer effects 2019-07-31T02:44:09+00:00 https://arxiv.org/abs/1706.04692 arthegalldean-eckles machinelearning observational-studies via:twitter statistics arxiv research-article privacy https://pinboard.in/ https://pinboard.in/u:arthegall/b:6a1f2d44e112/ [1603.01508] Inferential Privacy Guarantees for Differentially Private Mechanisms 2019-07-31T02:42:01+00:00 https://arxiv.org/abs/1603.01508 arthegall robert-kleinberg differential-privacy inferential-privacy privacy arxiv research-article https://pinboard.in/ https://pinboard.in/u:arthegall/b:1bd530b2335a/ [1809.09561] Evaluating stochastic seeding strategies in networks 2019-04-13T10:39:48+00:00 https://arxiv.org/abs/1809.09561 arthegall) ]]> dean-eckles social-networks research-article arxiv https://pinboard.in/ https://pinboard.in/u:arthegall/b:9b1fe60c7187/ Kairouz, Oh, Viswanath, "Extremal Mechanisms for Local Differential Privacy" 2019-04-13T10:33:23+00:00 https://papers.nips.cc/paper/5392-extremal-mechanisms-for-local-differential-privacy.pdf arthegall local-differential-privacy differential-privacy research-article linear-programming randomization https://pinboard.in/ https://pinboard.in/u:arthegall/b:f22671196c26/ Joseph, Mao, Neel, Roth, "The Role of Interactivity in Local Differential Privacy" (arXiv) 2019-04-13T10:26:18+00:00 https://arxiv.org/abs/1904.03564 arthegall differential-privacy interactivity algorithms research-article arxiv local-differential-privacy https://pinboard.in/ https://pinboard.in/u:arthegall/b:f48b4834a714/ Kairouz, Oh, Viswanath, "Differentially Private Multi-party Computation: Optimality of Non-Interactive Randomized Response" 2019-04-13T10:25:01+00:00 https://arxiv.org/pdf/1407.1546.pdf arthegall differential-privacy research-article randomization https://pinboard.in/ https://pinboard.in/u:arthegall/b:718586693f95/ Kairouz, Oh, Viswanath, "The Composition Theorem for Differential Privacy" 2019-04-13T10:22:57+00:00 http://proceedings.mlr.press/v37/kairouz15.pdf arthegall differential-privacy research-article privacy https://pinboard.in/ https://pinboard.in/u:arthegall/b:e898eba435e4/ Duchi, Jordan, Wainwright, "Local Privacy and Statistical Minimax Rates" 2019-04-13T10:21:08+00:00 https://stanford.edu/~jduchi/projects/DuchiJoWa13_focs.pdf arthegall local-differential-privacy differential-privacy research-article michael-jordan privacy https://pinboard.in/ https://pinboard.in/u:arthegall/b:3503f9041d42/ Relatedness disequilibrium regression estimates heritability without environmental bias | Nature Genetics 2019-03-17T13:24:31+00:00 https://www.nature.com/articles/s41588-018-0178-9 arthegall heritability genetics research-article kari-stefansson https://pinboard.in/ https://pinboard.in/u:arthegall/b:6685725e96c2/ [1902.10286] On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives 2019-03-12T06:54:58+00:00 https://arxiv.org/abs/1902.10286 arthegallvia:nikete causality arxiv research-article statistics inference https://pinboard.in/ https://pinboard.in/u:arthegall/b:09c9259c749b/ [1805.00155] Live Functional Programming with Typed Holes 2019-02-20T11:29:16+00:00 https://arxiv.org/abs/1805.00155 arthegall developer-experience programminglanguage arxiv preprint research-article computerscience type-systems functionalprogramming https://pinboard.in/ https://pinboard.in/u:arthegall/b:f90e5380f427/ [1902.04114] Using Embeddings to Correct for Unobserved Confounding 2019-02-20T11:12:28+00:00 https://arxiv.org/abs/1902.04114 arthegall victor-veitch arxiv research-article machinelearning confounding causal-learning causality https://pinboard.in/ https://pinboard.in/u:arthegall/b:9ba4c0c69695/ [1902.06720] Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent 2019-02-20T11:07:36+00:00 https://arxiv.org/abs/1902.06720 arthegallvia:cshalizi neural-networks deep-learning arxiv research-article machinelearning gradient-descent https://pinboard.in/ https://pinboard.in/u:arthegall/b:3311b38c89da/ [1902.04738] Mesh: Compacting Memory Management for C/C++ Applications 2019-02-19T11:16:37+00:00 https://arxiv.org/abs/1902.04738 arthegall memory memory-allocation programming arxiv research-article computerscience https://pinboard.in/ https://pinboard.in/u:arthegall/b:f21597a44ef4/ [1902.01023] Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion 2019-02-14T09:55:50+00:00 https://arxiv.org/abs/1902.01023 arthegallsigma via:Vaguery arxiv preprint research-article music annotation spectral-clustering https://pinboard.in/ https://pinboard.in/u:arthegall/b:e0e4c58eac09/