Decorating bacteria with self-assembled synthetic receptors von Lahav-Mankovski, Naama, Prasad, Pragati Kishore, Oppenheimer-Low, Noa, Raviv, Gal, Dadosh, Tali, Unger, Tamar, Salame, Tomer Meir, Motiei, Leila, Margulies, David

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Structure of Type-I Mycobacterium tuberculosis fatty acid synthase at 3.3 Å resolution von Elad, Nadav, Baron, Szilvia, Peleg, Yoav, Albeck, Shira, Grunwald, Jacob, Raviv, Gal, Shakked, Zippora, Zimhony, Oren, Diskin, Ron

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How to catch a lion in the desert: on the solution of the coverage directed generation (CDG) problem von Gal, Raviv, Haber, Eldad, Irwin, Brian, Saleh, Bilal, Ziv, Avi

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How To Catch A Lion In The Desert -- On The Solution Of The Coverage Directed Generation (CDG) Problem von Raviv Gal, Haber, Eldad, Irwin, Brian, Saleh, Bilal, Ziv, Avi

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Machine Learning in the Service of Hardware Functional Verification von Gal, Raviv, Ziv, Avi

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Deep Neural Network Accelerated Implicit Filtering von Irwin, Brian, Haber, Eldad, Gal, Raviv, Ziv, Avi

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Coverage analysis with event clustering von Simchoni, Giora, Ziv, Avi, Gal, Raviv

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COVERAGE ANALYSIS WITH EVENT CLUSTERING von SIMCHONI, GIORA, GAL, RAVIV, ZIV, AVI

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SELECTING TEST-TEMPLATES USING TEMPLATE-AWARE COVERAGE DATA von Simchoni, Giora, Ziv, Avi, Gal, Raviv

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The Verification Cockpit -- Creating the Dream Playground for Data Analytics over the Verification Process von Arar, Moab, Behm, Michael, Boni, Odellia, Gal, Raviv, Goldin, Alex, Ilyaev, Maxim, Kermany, Einat, Reysa, John, Saleh, Bilal, Schubert, Klaus-Dieter, Shurek, Gil, Ziv, Avi

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Risk-focused testing von Shurek, Gil, Simchoni, Giora, Ziv, Avi, Gal, Raviv

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Deep Neural Network Accelerated Implicit Filtering von Irwin, Brian, Haber, Eldad, Raviv Gal, Ziv, Avi

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Hardware verification based on relations between coverage events von Ivrii, Alexander, Ziv, Avi, Kermany, Haim, Nevo, Ziv, Gal, Raviv

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RISK-FOCUSED TESTING von Shurek, Gil, Simchoni, Giora, Ziv, Avi, GAL, RAVIV

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GENERATING DATA SLICES FOR MACHINE LEARNING VALIDATION von Farchi, Eitan Daniel, Raz, Orna, Ziv, Avi, Zalmanovici, Marcel, Gal, Raviv

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Guest Editors' Introduction: Special Issue on Machine Learning for CAD/EDA von Schlichtmann, Ulf, Li, Bing, Yu, Bei, Gal, Raviv

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Report on First and Second ACM/IEEE Workshop on Machine Learning for CAD (MLCAD) von Wolf, Marilyn, Henkel, Jorg, Gal, Raviv, Schlichtmann, Ulf

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Partial Instruction-by-instruction checking on acceleration platforms von ZIV AVI, MORAD RONNY, KOYFMAN ANATOLY, RAVIV GAL

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Cost Function Unrolling in Unsupervised Optical Flow von Lifshitz, Gal, Raviv, Dan

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Deep learning‐based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention von Finkelstein, Ofek, Levakov, Gidon, Kaplan, Alon, Zelicha, Hila, Meir, Anat Yaskolka, Rinott, Ehud, Tsaban, Gal, Witte, Anja Veronica, Blüher, Matthias, Stumvoll, Michael, Shelef, Ilan, Shai, Iris, Riklin Raviv, Tammy, Avidan, Galia

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