Oliver Eberle
@eberleoliver.bsky.social
Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪
Prev at IPAM | UCLA | BCCN
Interpretability | XAI | NLP & Humanities | ML for Science
Prev at IPAM | UCLA | BCCN
Interpretability | XAI | NLP & Humanities | ML for Science
Our position paper on algorithmic explanations is out—excited to share it! 🙌
Proud of this collaborative effort toward a scientifically grounded understanding of generative AI.
@tuberlin.bsky.social @bifold.berlin @msftresearch.bsky.social @UCSD & @UCLA
Proud of this collaborative effort toward a scientifically grounded understanding of generative AI.
@tuberlin.bsky.social @bifold.berlin @msftresearch.bsky.social @UCSD & @UCLA
June 20, 2025 at 5:12 PM
Our position paper on algorithmic explanations is out—excited to share it! 🙌
Proud of this collaborative effort toward a scientifically grounded understanding of generative AI.
@tuberlin.bsky.social @bifold.berlin @msftresearch.bsky.social @UCSD & @UCLA
Proud of this collaborative effort toward a scientifically grounded understanding of generative AI.
@tuberlin.bsky.social @bifold.berlin @msftresearch.bsky.social @UCSD & @UCLA
📜 History repeats itself: We investigated how early modern communities have embraced scholarly advancements, reshaping scientific views and exploring scientific roots amidst a changing world.
www.science.org/doi/10.1126/...
@mpiwg.bsky.social @tuberlin.bsky.social @bifold.berlin @science.org
www.science.org/doi/10.1126/...
@mpiwg.bsky.social @tuberlin.bsky.social @bifold.berlin @science.org
December 27, 2024 at 9:20 AM
📜 History repeats itself: We investigated how early modern communities have embraced scholarly advancements, reshaping scientific views and exploring scientific roots amidst a changing world.
www.science.org/doi/10.1126/...
@mpiwg.bsky.social @tuberlin.bsky.social @bifold.berlin @science.org
www.science.org/doi/10.1126/...
@mpiwg.bsky.social @tuberlin.bsky.social @bifold.berlin @science.org