3232
3333
3434Feb 19
35- : [ ** Lecture 06 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } SAEs and biological interpretability
35+ : [ ** Lecture 05 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } SAEs and biological interpretability
3636 : Onkar Gujral
3737
3838Feb 24
@@ -42,32 +42,32 @@ Feb 24
4242
4343
4444Feb 26
45- : [ ** Lecture 08 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Variational Autoencoders (VAEs)
45+ : [ ** Lecture 06 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Variational Autoencoders (VAEs)
4646 : Eric Alm
4747
4848Mar 03
49- : [ ** Lecture 09 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Transformers
49+ : [ ** Lecture 07 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Transformers
5050 : Eric Alm
5151
5252Mar 05
53- : [ ** Lecture 10 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } LLMs for proteins I
53+ : [ ** Lecture 08 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } LLMs for proteins I
5454 : Bonnie Berger
5555
5656Mar 10
57- : [ ** Lecture 11 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } LLMs for proteins II
57+ : [ ** Lecture 09 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } LLMs for proteins II
5858 : Bonnie Berger
5959
6060Mar 12
61- : [ ** Lecture 12 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } CNNs for DNA
61+ : [ ** Lecture 10 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } CNNs for DNA
6262 : Eric Alm
6363 : <span class =" label label-purple " >PSET 2 Due</span > <span class =" label label-gray " >PSET 3 Out</span >
6464
6565Mar 17
66- : [ ** Lecture 13 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } GNNs for Chemistry
66+ : [ ** Lecture 11 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } GNNs for Chemistry
6767 : Eric Alm
6868
6969Mar 19
70- : [ ** Lecture 14 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } GNNs for single cell genomics
70+ : [ ** Lecture 12 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } GNNs for single cell genomics
7171 : Bonnie Berger
7272
7373Mar 24
@@ -77,50 +77,50 @@ Mar 26
7777: ** Spring Break** {: .label .label-gray }
7878
7979Mar 31
80- : [ ** Lecture 15 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Diffusion Generative Models I
80+ : [ ** Lecture 13 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Diffusion Generative Models I
8181 : Bowen Jing
8282 : <span class =" label label-purple " >PSET 3 Due</span > <span class =" label label-gray " >PSET 4 Out</span >
8383
8484Apr 2
85- : [ ** Lecture 16 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Diffusion Generative Models II
85+ : [ ** Lecture 14 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Diffusion Generative Models II
8686 : Bowen Jing
8787
8888Apr 7
89- : [ ** Lecture 17 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Protein Structure Prediction
89+ : [ ** Lecture 15 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Protein Structure Prediction
9090 : Eric Alm
9191
9292Apr 9
93- : [ ** Lecture 18 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Protein Design
93+ : [ ** Lecture 16 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Protein Design
9494 : Mihir Bafna
9595
9696
9797Apr 14
98- : [ ** Lecture 19 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Invited talk
98+ : [ ** Lecture 17 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Invited talk
9999 : TBA
100100
101101
102102Apr 16
103- : [ ** Lecture 20 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Invited talk
103+ : [ ** Lecture 18 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Invited talk
104104 : TBA
105105 : <span class =" label label-purple " >PSET 4 Due</span >
106106
107107
108108Apr 21
109- : [ ** Lecture 21 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Deep learning for epigenomics
109+ : [ ** Lecture 19 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Deep learning for epigenomics
110110 : Ruochi Zhang
111111
112112
113113Apr 23
114- : [ ** Lecture 22 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } MSA in the Era of PLMs
114+ : [ ** Lecture 20 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } MSA in the Era of PLMs
115115 : Minh Hoang
116116
117117
118118Apr 28
119- : [ ** Lecture 23 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Invited talk
119+ : [ ** Lecture 21 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Invited talk
120120 : TBA
121121
122122Apr 30
123- : [ ** Lecture 24 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Invited talk
123+ : [ ** Lecture 22 ** ] [ lectures ] {: .label .label-purple target="_ blank" rel="noopener" } Invited talk
124124 : TBA
125125
126126May 5
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