#newpaper — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #newpaper, aggregated by home.social.
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This week LTG Oslo members will be attending #LREC2026 in Mallorca to present several new papers . #NLProc
Come chat with us and check out our papers now available from the conference proceedings (https://lrec.elra.info/conference/2026/main)👇🧵 -
This week LTG Oslo members will be attending #LREC2026 in Mallorca to present several new papers . #NLProc
Come chat with us and check out our papers now available from the conference proceedings (https://lrec.elra.info/conference/2026/main)👇🧵 -
This week LTG Oslo members will be attending #LREC2026 in Mallorca to present several new papers . #NLProc
Come chat with us and check out our papers now available from the conference proceedings (https://lrec.elra.info/conference/2026/main)👇🧵 -
This week LTG Oslo members will be attending #LREC2026 in Mallorca to present several new papers . #NLProc
Come chat with us and check out our papers now available from the conference proceedings (https://lrec.elra.info/conference/2026/main)👇🧵 -
This week LTG Oslo members will be attending #LREC2026 in Mallorca to present several new papers . #NLProc
Come chat with us and check out our papers now available from the conference proceedings (https://lrec.elra.info/conference/2026/main)👇🧵 -
#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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I came across this excellent paper on the philosophical underpinnings of Machine Learning (as a discipline). It's well worth a read.
http://arxiv.org/abs/2604.06754
The summary (from the paper) is:
Machine learning is a style of reasoning, and is as rhetorical as any other. It• Takes data as fact (not a core object of enquiry)
• Presumes the data is “random” (as an omnibus sanitisation protocol)
• Purports to learn representations of the world (from the “intrinsic structure of data”)
• Presumes that knowing the world suffices to control it
• Takes categories as features of the world (to avoid grappling with the hard choice)
• Avoids grappling with the tension between the individual and the aggregate
• Confuses and conflates data and information
• Valorises method above all
• Judges methods solely via canned “benchmarks”
• Makes black boxes, without providing the associated data-sheets.
• Construes its products as fully autonomous, when it is mere partial delegation.It has honed its style of reasoning so that the style is invisible. It has thus successfully turned itself into a self-perpetuating thought-style — in other words, a “discipline”.
#ML #MachineLearning #AI #ArtificialIntelligence #assumptions #philosophy #rhetoric #NewPaper
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I came across this excellent paper on the philosophical underpinnings of Machine Learning (as a discipline). It's well worth a read.
http://arxiv.org/abs/2604.06754
The summary (from the paper) is:
Machine learning is a style of reasoning, and is as rhetorical as any other. It• Takes data as fact (not a core object of enquiry)
• Presumes the data is “random” (as an omnibus sanitisation protocol)
• Purports to learn representations of the world (from the “intrinsic structure of data”)
• Presumes that knowing the world suffices to control it
• Takes categories as features of the world (to avoid grappling with the hard choice)
• Avoids grappling with the tension between the individual and the aggregate
• Confuses and conflates data and information
• Valorises method above all
• Judges methods solely via canned “benchmarks”
• Makes black boxes, without providing the associated data-sheets.
• Construes its products as fully autonomous, when it is mere partial delegation.It has honed its style of reasoning so that the style is invisible. It has thus successfully turned itself into a self-perpetuating thought-style — in other words, a “discipline”.
#ML #MachineLearning #AI #ArtificialIntelligence #assumptions #philosophy #rhetoric #NewPaper
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I came across this excellent paper on the philosophical underpinnings of Machine Learning (as a discipline). It's well worth a read.
http://arxiv.org/abs/2604.06754
The summary (from the paper) is:
Machine learning is a style of reasoning, and is as rhetorical as any other. It• Takes data as fact (not a core object of enquiry)
• Presumes the data is “random” (as an omnibus sanitisation protocol)
• Purports to learn representations of the world (from the “intrinsic structure of data”)
• Presumes that knowing the world suffices to control it
• Takes categories as features of the world (to avoid grappling with the hard choice)
• Avoids grappling with the tension between the individual and the aggregate
• Confuses and conflates data and information
• Valorises method above all
• Judges methods solely via canned “benchmarks”
• Makes black boxes, without providing the associated data-sheets.
• Construes its products as fully autonomous, when it is mere partial delegation.It has honed its style of reasoning so that the style is invisible. It has thus successfully turned itself into a self-perpetuating thought-style — in other words, a “discipline”.
#ML #MachineLearning #AI #ArtificialIntelligence #assumptions #philosophy #rhetoric #NewPaper
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I came across this excellent paper on the philosophical underpinnings of Machine Learning (as a discipline). It's well worth a read.
http://arxiv.org/abs/2604.06754
The summary (from the paper) is:
Machine learning is a style of reasoning, and is as rhetorical as any other. It• Takes data as fact (not a core object of enquiry)
• Presumes the data is “random” (as an omnibus sanitisation protocol)
• Purports to learn representations of the world (from the “intrinsic structure of data”)
• Presumes that knowing the world suffices to control it
• Takes categories as features of the world (to avoid grappling with the hard choice)
• Avoids grappling with the tension between the individual and the aggregate
• Confuses and conflates data and information
• Valorises method above all
• Judges methods solely via canned “benchmarks”
• Makes black boxes, without providing the associated data-sheets.
• Construes its products as fully autonomous, when it is mere partial delegation.It has honed its style of reasoning so that the style is invisible. It has thus successfully turned itself into a self-perpetuating thought-style — in other words, a “discipline”.
#ML #MachineLearning #AI #ArtificialIntelligence #assumptions #philosophy #rhetoric #NewPaper
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I came across this excellent paper on the philosophical underpinnings of Machine Learning (as a discipline). It's well worth a read.
http://arxiv.org/abs/2604.06754
The summary (from the paper) is:
Machine learning is a style of reasoning, and is as rhetorical as any other. It• Takes data as fact (not a core object of enquiry)
• Presumes the data is “random” (as an omnibus sanitisation protocol)
• Purports to learn representations of the world (from the “intrinsic structure of data”)
• Presumes that knowing the world suffices to control it
• Takes categories as features of the world (to avoid grappling with the hard choice)
• Avoids grappling with the tension between the individual and the aggregate
• Confuses and conflates data and information
• Valorises method above all
• Judges methods solely via canned “benchmarks”
• Makes black boxes, without providing the associated data-sheets.
• Construes its products as fully autonomous, when it is mere partial delegation.It has honed its style of reasoning so that the style is invisible. It has thus successfully turned itself into a self-perpetuating thought-style — in other words, a “discipline”.
#ML #MachineLearning #AI #ArtificialIntelligence #assumptions #philosophy #rhetoric #NewPaper
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Thrilled to finally share the paper @deepseek and I cooked up: a formal framework where the Special Orthogonal Group of Existentialism determines whether you’re ↑ or ↓.
Yes, there’s a Dasein Potential. Yes, the math checks out. 😎
👉 https://www.johnmackay.net/grand-unified-theory-contextual-orientation.htm
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Thrilled to finally share the paper @deepseek and I cooked up: a formal framework where the Special Orthogonal Group of Existentialism determines whether you’re ↑ or ↓.
Yes, there’s a Dasein Potential. Yes, the math checks out. 😎
👉 https://www.johnmackay.net/grand-unified-theory-contextual-orientation.htm
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Thrilled to finally share the paper @deepseek and I cooked up: a formal framework where the Special Orthogonal Group of Existentialism determines whether you’re ↑ or ↓.
Yes, there’s a Dasein Potential. Yes, the math checks out. 😎
👉 https://www.johnmackay.net/grand-unified-theory-contextual-orientation.htm
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Thrilled to finally share the paper @deepseek and I cooked up: a formal framework where the Special Orthogonal Group of Existentialism determines whether you’re ↑ or ↓.
Yes, there’s a Dasein Potential. Yes, the math checks out. 😎
👉 https://www.johnmackay.net/grand-unified-theory-contextual-orientation.htm
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Thrilled to finally share the paper @deepseek and I cooked up: a formal framework where the Special Orthogonal Group of Existentialism determines whether you’re ↑ or ↓.
Yes, there’s a Dasein Potential. Yes, the math checks out. 😎
👉 https://www.johnmackay.net/grand-unified-theory-contextual-orientation.htm
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New paper out:
Daniel Kissling, Henrique Pereira and many nice colleagues: Building the backbone for Europe’s biodiversity monitoring.https://www.nature.com/articles/s44358-026-00140-6
#biodiversity #monitoring #Europe #newpaper #newpublication
#xp -
New paper out:
Daniel Kissling, Henrique Pereira and many nice colleagues: Building the backbone for Europe’s biodiversity monitoring.https://www.nature.com/articles/s44358-026-00140-6
#biodiversity #monitoring #Europe #newpaper #newpublication
#xp -
New paper out:
Daniel Kissling, Henrique Pereira and many nice colleagues: Building the backbone for Europe’s biodiversity monitoring.https://www.nature.com/articles/s44358-026-00140-6
#biodiversity #monitoring #Europe #newpaper #newpublication
#xp -
New paper out:
Daniel Kissling, Henrique Pereira and many nice colleagues: Building the backbone for Europe’s biodiversity monitoring.https://www.nature.com/articles/s44358-026-00140-6
#biodiversity #monitoring #Europe #newpaper #newpublication
#xp -
New paper out:
Daniel Kissling, Henrique Pereira and many nice colleagues: Building the backbone for Europe’s biodiversity monitoring.https://www.nature.com/articles/s44358-026-00140-6
#biodiversity #monitoring #Europe #newpaper #newpublication
#xp -
Anyone interested in ocean skin temperatures derived from microwave imagers? #NewPaper
This is the last in the series where we look at the uncoupled system - it's all or nothing from here on!
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Anyone interested in ocean skin temperatures derived from microwave imagers? #NewPaper
This is the last in the series where we look at the uncoupled system - it's all or nothing from here on!
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Anyone interested in ocean skin temperatures derived from microwave imagers? #NewPaper
This is the last in the series where we look at the uncoupled system - it's all or nothing from here on!
-
Anyone interested in ocean skin temperatures derived from microwave imagers? #NewPaper
This is the last in the series where we look at the uncoupled system - it's all or nothing from here on!
-
Anyone interested in ocean skin temperatures derived from microwave imagers? #NewPaper
This is the last in the series where we look at the uncoupled system - it's all or nothing from here on!
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#NewPaper #Mammalogy #InnerEar #Evolution #Ruminants
Mennecart, B., Dziomber, L., Aiglstorfer, M. et al. Ruminant inner ear shape records 35 million years of neutral evolution. Nat Commun 13, 7222 (2022). https://doi.org/10.1038/s41467-022-34656-0
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#NewPaper #Mammalogy #InnerEar #Evolution #Ruminants
Mennecart, B., Dziomber, L., Aiglstorfer, M. et al. Ruminant inner ear shape records 35 million years of neutral evolution. Nat Commun 13, 7222 (2022). https://doi.org/10.1038/s41467-022-34656-0
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#NewPaper #Mammalogy #InnerEar #Evolution #Ruminants
Mennecart, B., Dziomber, L., Aiglstorfer, M. et al. Ruminant inner ear shape records 35 million years of neutral evolution. Nat Commun 13, 7222 (2022). https://doi.org/10.1038/s41467-022-34656-0
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GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
LiDAR place recognition with domain adaptation/transfer using target pseudo-labels generated by a discriminator (trained on source domain).
Summary: https://huggingface.co/papers/2308.04638#64df3a0db6f2f37d72b7e764
arXiv: https://arxiv.org/abs/2308.04638 -
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
LiDAR place recognition with domain adaptation/transfer using target pseudo-labels generated by a discriminator (trained on source domain).
Summary: https://huggingface.co/papers/2308.04638#64df3a0db6f2f37d72b7e764
arXiv: https://arxiv.org/abs/2308.04638 -
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
LiDAR place recognition with domain adaptation/transfer using target pseudo-labels generated by a discriminator (trained on source domain).
Summary: https://huggingface.co/papers/2308.04638#64df3a0db6f2f37d72b7e764
arXiv: https://arxiv.org/abs/2308.04638 -
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
LiDAR place recognition with domain adaptation/transfer using target pseudo-labels generated by a discriminator (trained on source domain).
Summary: https://huggingface.co/papers/2308.04638#64df3a0db6f2f37d72b7e764
arXiv: https://arxiv.org/abs/2308.04638 -
Visual Geo-localization with Self-supervised Representation Learning
SSL losses can be used for Visual Geo-localization/representation learning for VPR.
My summary on HFPapers: https://huggingface.co/papers/2308.00090#64d7ccd079d99b87006160ea
arXiv: https://arxiv.org/abs/2308.00090 -
Visual Geo-localization with Self-supervised Representation Learning
SSL losses can be used for Visual Geo-localization/representation learning for VPR.
My summary on HFPapers: https://huggingface.co/papers/2308.00090#64d7ccd079d99b87006160ea
arXiv: https://arxiv.org/abs/2308.00090 -
Visual Geo-localization with Self-supervised Representation Learning
SSL losses can be used for Visual Geo-localization/representation learning for VPR.
My summary on HFPapers: https://huggingface.co/papers/2308.00090#64d7ccd079d99b87006160ea
arXiv: https://arxiv.org/abs/2308.00090 -
Visual Geo-localization with Self-supervised Representation Learning
SSL losses can be used for Visual Geo-localization/representation learning for VPR.
My summary on HFPapers: https://huggingface.co/papers/2308.00090#64d7ccd079d99b87006160ea
arXiv: https://arxiv.org/abs/2308.00090 -
#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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#NewPaper by Jonathan Lee:
Lok, C., Lee, J. H. N., Matthews, S., & Yip, V. Responses to Cantonese A-not-A questions by Cantonese-English bilingual children. International Journal of Bilingualism. (Online first) https://doi.org/10.1177/13670069251405684 -
#NewPaper by Jonathan Lee:
Lok, C., Lee, J. H. N., Matthews, S., & Yip, V. Responses to Cantonese A-not-A questions by Cantonese-English bilingual children. International Journal of Bilingualism. (Online first) https://doi.org/10.1177/13670069251405684 -
#NewPaper by Jonathan Lee:
Lok, C., Lee, J. H. N., Matthews, S., & Yip, V. Responses to Cantonese A-not-A questions by Cantonese-English bilingual children. International Journal of Bilingualism. (Online first) https://doi.org/10.1177/13670069251405684 -
#NewPaper by Jonathan Lee:
Lok, C., Lee, J. H. N., Matthews, S., & Yip, V. Responses to Cantonese A-not-A questions by Cantonese-English bilingual children. International Journal of Bilingualism. (Online first) https://doi.org/10.1177/13670069251405684