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Workshop
Fri 7:50 Investigating extrapolation and low-data challenges via contrastive learning of chemical compositions
Federico Ottomano · Giovanni De Felice · Rahul Savani · Vladimir Gusev · Matthew Rosseinsky
Workshop
Identifying Representations for Intervention Extrapolation
Sorawit Saengkyongam · Elan Rosenfeld · Pradeep Ravikumar · Niklas Pfister · Jonas Peters
Workshop
Representation Learning for Extremes
Ali Hasan · Yuting Ng · Jose Blanchet · Vahid Tarokh
Workshop
Neural oscillators for generalizing parametric PDEs
Taniya Kapoor · Abhishek Chandra · Daniel Tartakovsky · Hongrui Wang · Alfredo Nunez · Rolf Dollevoet
Workshop
Fri 6:50 Invited talk by Xinwei Shen (ETH) - Extrapolation in Regression and Representation Learning
Xinwei Shen
Workshop
Fri 7:35 Identifying Representations for Intervention Extrapolation
Sorawit Saengkyongam
Poster
Wed 15:00 Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu · Yu Geng · Jiangchao Yao · Tongliang Liu · Gang Niu · Masashi Sugiyama · Bo Han
Poster
Tue 8:45 Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
Steven Adriaensen · Herilalaina Rakotoarison · Samuel Müller · Frank Hutter
Poster
Tue 15:15 Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
Sébastien Lachapelle · Divyat Mahajan · Ioannis Mitliagkas · Simon Lacoste-Julien
Poster
Thu 15:00 [Re] End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking
Sean McLeish · Long Tran-Thanh
Oral
Tue 14:10 Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
Sébastien Lachapelle · Divyat Mahajan · Ioannis Mitliagkas · Simon Lacoste-Julien