The analysis of non-oscillating transients using the covariance method with many different orders. - Finley R. Shapiro; Stephen D. Senturia; David Adler (ICASSP, 1984)

Path-space Motion Estimation and Decomposition for Robust Animation Filtering. - Henning Zimmer; Fabrice Rousselle; Wenzel Jakob; Oliver Wang; David Adler; Wojciech Jarosz; Olga Sorkine-Hornung; Alexander Sorkine-Hornung (Comput. Graph. Forum, 2015)

Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. - Benedikt Bitterli; Fabrice Rousselle; Bochang Moon; José Antonio Iglesias Guitián; David Adler; Kenny Mitchell; Wojciech Jarosz; Jan Novák (Comput. Graph. Forum, 2016)

The Design and Evolution of Disney's Hyperion Renderer. - Brent Burley; David Adler; Matt Jen-Yuan Chiang; Hank Driskill; Ralf Habel; Patrick Kelly; Peter Kutz; Yining Karl Li; Daniel Teece (ACM Trans. Graph., 2018)

Denoising with kernel prediction and asymmetric loss functions. - Thijs Vogels; Fabrice Rousselle; Brian McWilliams; Gerhard Röthlin; Alex Harvill; David Adler; Mark Meyer; Jan Novák (ACM Trans. Graph., 2018)

Machine-learning denoising in feature film production. - Henrik Dahlberg; David Adler; Jeremy Newlin (SIGGRAPH Talks, 2019)

Denoising Deep Monte Carlo Renderings. - Delio Vicini; David Adler; Jan Novák; Fabrice Rousselle; Brent Burley (Comput. Graph. Forum, 2019)

Cache Points for Production-Scale Occlusion-Aware Many-Lights Sampling and Volumetric Scattering. - Yining Karl Li; Charlotte Zhu; Gregory Nichols; Peter Kutz; Wei-Feng Wayne Huang; David Adler; Brent Burley; Daniel Teece (DigiPro, 2024)

AMuLeT: Automated Design-Time Testing of Secure Speculation Countermeasures. - Bo Fu; Leo Tenenbaum; David Adler; Assaf Klein; Arpit Gogia; Alaa R. Alameldeen; Marco Guarnieri; Mark Silberstein; Oleksii Oleksenko; Gururaj Saileshwar (ASPLOS (2), 2025)